Peer Reviewed Papers

 | Post date: 2023/04/6 | 
Journal Papers (Selected):
 

72) M. Ataollahi and M. Farrokhi, “Online path planning of cooperative mobile robots in unknown environments using improved Q-Learning and adaptive artificial potential field, “IET - Journal of Engineering, vol. 2023, no. 2, pp. 1-22, 2023.
71) F. SabbaghianBidgoli and M. Farrokhi, “Robust fuzzy observerbased faulttolerant control: A homogeneous polynomial Lyapunov function approach,” IET Control Theory & Applications, vol. 17, no. 1, pp. 74-91, 2023.
70) H. Toshani and M. Farrokhi, “Optimal discrete-time sliding-mode control based on recurrent neural network: a singular value approach,” Soft Computing, vol. 27, pp. 3083-3094, 2023.
69) S. Nazeran and M. Farrokhi, “2-DoF Self-tuning Fuzzy PID controller for under-actuated inverted pendulum system with uncertainties in model,” Journal of Control, vol. 16, no. 3, pp. 59-69, 2022. (In Persian)
68) N. Kalamain and M. Farrokhi, “Dynamic walking and stepping over large obstacles of biped robots: A poincaré map approach,” Journal of Engineering Science & Technology Review, vol. 15, no. 6, pp., 2022.
67) R. Heydari and M. Farrokhi, Robust event-triggered model predictive control of polytopic LPV systems: An input-to-state stability approach,” Systems & Control Letters, vol. 163, 105202, 2022.
66) F. Sabbaghian and M. Farrokhi, “Polynomial fuzzy observer-based integrated fault estimation and fault tolerant control with uncertainty and disturbance,” IEEE Transactions on Fuzzy Systems, vol. 30, no. 3, pp. 741-754, 2022.
65) F. Sabbaghian-Bidgoli and M. Farrokhi, “Sensor and actuator fault-tolerant control based on fuzzy unknown input observer: A polynomial fuzzy approach,” Applied Soft Computing, vol. 110, 107747, 2021.
64) R. Heydari and M. Farrokhi, “Robust tube-based model predictive control of LPV systems subject to adjustable additive disturbance set,” Automatica, vol. 129, 109672, 2021.
63) M.J. Shekari and M. Farrokhi, D. Arab Khaburi, “Speed Control and Torque Ripple Reduction of Switched Reluctance Motors based on Cascade Loops and Optimal Sliding-mode Controller,” Journal of Control, vol. 14, no. 4, pp. 143-154, 2021. (In Persian)
62) S. Rad-Moghadam and M. Farrokhi, “Optimal output feedback control of a class of uncertain systems with input constraints using parallel feedforward compensator,” Journal of the Franklin Institute, vol. 357, no. 18, pp. 13449-13476, 2020.
61) S RadMoghadam and M Farrokhi, “Adaptive control of robotic fingers for grasping stationary and falling soft balls using fuzzy Sugeno method,” Tabriz Journal of Electrical Engineering, vol. 49, no. 4, pp. 1613-1628, 2020. (In Persian)
60) S Shakourzadeh and M Farrokhi, “Fuzzy-backstepping control of quadruped robots,” Intelligent Service Robotics, vol. 13, no. 2, pp. 191-206, 2020.
59) MR Rahmani and M Farrokhi, “Fractional-order Hammerstein state-space modeling of nonlinear dynamic systems from input–output measurements,” ISA Transactions, vol. 96, pp. 177-184, 2020.
58) H Toshani and M Farrokhi, “Robust chattering-free optimal sliding-mode control using recurrent neural networks: An H-based approach,” Transactions of the Institute of Measurement and Control, vol. 41, no. 13, pp. 3565-3580, 2019.
57) R Khonsarian and M Farrokhi, “Vision-Based Model Predictive Control of Wheeled Mobile Robot,” Modares Mechanical Engineering, vol. 19, no. 7, pp. 1767-1777, 2019. (In Persian)
56) H Moodi, M Farrokhi, TM Guerra, and J Lauber, “On stabilization conditions for T–S systems with nonlinear consequent parts,” International Journal of Fuzzy Systems, vol. 21, pp. 84-94, 2019.
55) M Rahmani and M Farrokhi, “Robust identification of MISO neuro-fractional-order Hammerstein systems,” International Journal of Robust and Nonlinear Control, vol. 29, no. 7, pp. 2137-2148, 2019.
54) M Sadeghi and M Farrokhi, “Real-time identification of nonlinear multiple-input–multiple-output systems with unknown input time delay using Wiener model with Neuro-Laguerre structure,” International Journal of Adaptive Control and Signal Processing, vol. 33, no. 1, pp. 157-174, 2019.
53) M Sadeghi and M Farrokhi, “Block-oriented identification of non-linear systems with input time delay in presence of measurement noise: a Laguerre–neural network approach,” Transactions of the Institute of Measurement and Control, vol. 41, no. 1, pp. 117-126, 2019.
52) H Toshani and M Farrokhi, “Optimal sliding-mode control of linear systems with uncertainties and input constraints using projection neural network,” Optimal Control, Applications and Methods, vol. 39, pp. 963-980, 2018.
51) M.R. Rahmani and M. Farrokhi, “Nonlinear dynamic system identification using neuro-fractional-order Hammerstein model,” Transactions of the Institute of Measurement and Control, vol. 40, no. 13, pp. 3872-3883, 2018.
50) B. Vatankhah and M. Farrokhi, “Nonlinear adaptive model predictive control of constrained systems with offsetfree tracking behavior,” Asian Journal of Control, vol. 20, no 1, pp. 1-13, 2018.
49) M.R. Rahmani and M. Farrokhi, “Identification of neuro-fractional Hammerstein systems: a hybrid frequency-/time-domain approach,” Soft Computing, vol. 22, no. 24, pp. 8097-8106, 2018.
48) M. Sadeghi and M. Farrokhi, "Online identification of non-linear dynamic systems by Wiener model using subspace method and neural networksTransactions of the Institute of Measurement and Control, vol. 40, no. 2, pp. 666-674, 2018.
47) A. Kazemy and M. Farrokhi, "Synchronization of chaotic Lur’e systems with state and transmission line time delay: a linear matri inequality approach, Transactions of the Institute of Measurement and Control, vol. 39, no. 11, pp. 1703-1709, 2017.
46) B. Vatankhah and M. Farrokhi, “Nonlinear model-predictive control with disturbance rejection property using adaptive neural networks,” Journal of the Franklin Institute, vol. 354, no. 13, pp. 5201-5220, 2017.
45) B. Vatankhah and M. Farrokhi, “Offset-free adaptive nonlinear model predictive control with disturbance observer for DC-DC buck converters,” Turkish Journal of Electrical Engineering & Computer Sciences, vol. 25, pp. 2195-2206, 2017.
44) R Heydari, M Farrokhi, “Robust model predictive control of biped robots with adaptive on-line gait generation,” International Journal of Control, Automation and Systems, vol. 15, no. 1, pp. 329-344, 2017.
43) H. Toshani, M. Farrokhi, and Y. Alipouri, "Constarint generalized minimum variance controller design using projection-based recurrent neural network," IET Control Theory and Applications, vol. 11, no. 2, pp. 143-154, 2016.
42) S. Shakourzadeh and M. Farrokhi, "Optimal gait generation for quadruped robots using mesh adaptive direct search, International Journal of Mathematical Modelling and Numerical Optimisation, vol. 7, no.1, pp. 66-68, 2016.
41) H Moodi and M Farrokhi,  Robust observer-based controller design for Takagi–Sugeno systems with nonlinear consequent parts, Fuzzy Sets and Systems, vol. 273, pp. 141-154, 2014.
40) R. Heydari and M. Farrokhi, "Model Predictive Control of biped robot in up and down stairs based on neuro-adaptive predictor model," Electronic Industries, vol. 6, no. 2, pp.51-65, 2014. (In Persian)
39) H. Toshani and M. Farrokhi, “Real-time inverse kinematics of redundant manipulators using neural networks and quadratic programming: A Lyapunov-based approach,” Robotics and Autonomous Systems, vol. 62, issue 6, pp. 761-771, 2014.
38) H. Moodi and M. Farrokhi, “On observer-based controller design for Sugeno systems with unmeasurable premise variables,” ISA transactions, vol. 53, no. 2, pp. 305-316, 2014.
37) A.M. Jasour and M Farrokhi, “Adaptive neuro‐predictive control for redundant robot manipulators in presence of static and dynamic obstacles: A Lyapunov‐based approach,” International Journal of Adaptive Control and Signal Processing, vol. 28, issue 3-5, pp. 386-411, 2014.
36) H. Moodi and M. Farrokhi, “Robust observer design for Sugeno systems with incremental quadratic nonlinearity in the consequent,” International Journal of Applied Mathematics and Computer Science, vol. 23, no. 4, pp. 711-723, 2013.
35) M. Jahed and M. Farrokhi, “Robust adaptive fuzzy control of twin rotor MIMO system,” Soft Computing, vol. 17, no. 10, pp. 1847-1860, 2013.
34) A. Kazemy and M. Farrokhi, “Delay-dependent robust absolute stability criteria for uncertain multiple time-delayed Lur’e systems,” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 227, no. 3, pp. 286-297, 2013.
33) A. Kazemy and M. Farrokhi, "Robust absolute stability of multiple time-delay Lur'e systems with parametric uncertainties," Asian Journal of Control, vol. 15, no. 1, pp. 1-11, 2013.
32) M. Shahriari and M. Farrokhi, "On-line state of health estimation of VRLA batteries using state of charge," IEEE Transactions on Industrial Electronics, vol. 60, no. 1, pp. 191-202, 2013.
31) B. Torkaman and M. Farrokhi, “A Kalman-filter-based method for real-time visual tracking of a moving object using pan and tilt platform,” International Journal of Scientific and Engineering Research, vol. 3, no. 8, pp. 1-6, 2012.
30) M. Navvab Kashani, J. Aminian, S. Shahhosseini, and M Farrokhi, “Dynamic crude oil fouling prediction in industrial preheaters using optimized ANN based moving window technique,” Chemical Engineering Research and Design, vol. 90, no. 7, pp. 938-949, 2012.
29) H. Toshani and M. Farrokhi, “Inverse Kinematics of 7-DOF Robot Manipulator under joint position constraints and obstacles in workspace using neuro-fuzzy network and second-order programming method, Journal of Control, vol. 6, no. 2, pp. 23-37, 2012. (in Persian)
28) S.M. Hoseni and M. Farrokhi, “Free chattering fuzzy sliding mode controllers to robotic tracking problem,” International Journal of Advanced Design and Manufacturing Technology, vol. 5, no. 2, pp. 59-70, 2012.
27) M. Parsa and M. Farrokhi, "Robust trajectory-free model predictive control of biped robots with adaptive gait length, International Journal of Robotics, vol. 2, no. 1, pp. 46-55, 2011.
26) M. Hajatipour and M. Farrokhi, "Increasing accuracy in nonlinear sliding-mode observers without decreasing sampling time using frequency domain analysis," Journal of Mathematical Control and Information, vol. 29, no.1, pp. 1-22, 2011.
25) A. Badkoobeh and M. Farrokhi, “An adaptive approach for optimal path planning of unmanned aerial vehicles,” International Journal of Mathematical Modelling and Numerical Optimisation, vol. 2, no. 4, pp. 422-440, 2011.
24) A. Badkoobeh and M. Farrokhi, “Waypoint tracking of unmanned aerial vehicles using robust H/ H controller,” International Journal of Systems, Control and Communication, vol. 3, no. 4, pp. 357-376, 2011.
23) S. M. Hoseini, M. Farrokhi, A. Koshkouei, "Robust adaptive control of non-linear non-minimum phase systems with uncertainties," Automatica, vol. 47, issue 2, pp. 348-357, 2011.
22) A. Kazemy and M. Farrokhi, "Line-of-sight stabilization of submarine periscopes," Journal of Control, vol. 4, no. 1, pp. 1-11, 2010. (in Persian)
21) O. Seyyed-Mosavi and M. Farrokhi, "Optimal fuzzy adaptive controller design for manipulators with flexible links," Journal of Electrical Engineering of Tabriz University, vol. 39, no. 2, pp. 49-60, 2010. (in Persian)
20) M. Charkhgard and M. Farrokhi, “State of charge estimation for lithium-ion batteries using neural networks and extended Kalman filter," IEEE Transactions on Industrial Electronics, vol. 57, no. 12, pp. 4178-4187, 2010.
19) S. Mohammad-Hoseini and M. Farrokhi, “Observer-based stabilization of some nonlinear non-minimum phase systems using neural network,” International Journal of Modeling, Identification, and Control, vol. 11, no. 1-2, pp. 15-25, 2010.
18) M. Hajatipour and M. Farrokhi, "Chattering free with noise reduction in sliding-mode observers using frequency domain analysis," Journal of Process Control, vol. 20, issue 8, pp. 912-921, 2010.
17) S. Mohammad-Hoseini, M. Farrokhi, and A. J. Koshkouei, “Adaptive neural network output feedback stabilization of nonlinear non-minimum phase systems,” International Journal of Adaptive Control and Signal Processing, vol. 24, no. 1, pp. 65-82, 2010.
16) A. M. Jasour and M. Farrokhi, “Fuzzy improved adaptive neuro-NMPC for on-line path tracking and obstacle avoidance of redundant robotic manipulators,” International Journal of Automation and Control, vol. 4, no. 2, pp. 177-200, 2010.
15) S. Mohammad-Hoseini and M. Farrokhi, “Neuro-adaptive output feedback control for a class of nonlinear non-minimum phase systems,” Journal of Intelligent and Robotic Systems, vol. 56, no. 5, pp. 487-511, 2009.
14) S. A. Hosseini and M. Farrokhi, “New steady-state Kalman filter for tracking high maneuvering targets,” Journal of Control, vol. 2, no. 2, pp. 1-7, Winter 2009.
13) A. Alfi and M. Farrokhi, “Hybrid state-feedback sliding-mode controller design using fuzzy logic for four-wheel-steering vehicles,” Vehicle System Dynamics, vol. 47, no. 3, pp. 265-284, March 2009.
12) A. Alfi and M. Farrokhi, “A simple structure for bilateral transparent teleoperation systems with time delay,” ASME Journal of Dynamic Systems, Measurement, and Control, vol. 130, no. 4, December 2008.
11) A. Alfi and M. Farrokhi, “Bilateral control of teleoperation systems with bounded uncertain time delay,” Iranian Journal of Electrical and Computer Engineering, vol. 7, no. 1, pp. 39-46, Winter/Spring 2008.
10) S. Mohammad-Hoseini, M. Farrokhi, and A. J. Koshkouei, “Robust adaptive control of uncertain non-linear systems using neural networks,” International Journal of Control, vol.81, no. 8, pp. 1319-1330, August 2008.
9) A. Alfi and M. Farrokhi, “Force reflecting bilateral control of master-slave systems in teleoperation,” Journal of Intelligent and Robotic Systems, vol. 52, no. 2, pp. 209-232, June 2008.
8) M. Hajatipour and M. Farrokhi, “Adaptive intelligent speed control of switched reluctance motors with torque ripple reduction,” Energy Conversion and Management, vol. 49, issue 5, pp. 1028-1038, May 2008.
7) A. Ghaemi, Sh. Shahhoseini, M. G. Marageh, and M. Farrokhi, “Prediction of vapor-liquid equilibrium for aqueous solutions of electrolytes using artificial neural networks,” Journal of Applied Sciences, vol. 8, no. 4, pp. 615-621, 2008.
6) M. Mohebbi and M. Farrokhi, “Adaptive neuro control of parallel hybrid electric vehicles,” International Journal of Electric and Hybrid Vehicles, vol.1, no. 1, pp. 3-19, 2007.
5) A. Fanaei, M. Farrokhi, “Robust adaptive neuro-fuzzy controller for hybrid position/force control of robot manipulators in unknown environment,” Journal of Intelligent and Fuzzy System, vol. 17, no.2, pp. 125-144, 2006.
4) R. Noorossana, M. Farrokhi, and A. Saghaei, “Using neural networks to detect and classify out-of-control signals in autocorrelated processes,” Quality and Reliability Engineering International, vol. 19, pp. 493-504, Dec. 2003.
3) A. Ghanbari and M. Farrokhi, “Decentralized control of two-dimensional inverted pendulum using neuro-fuzzy modeling,” International Journal of Engineering Sciences, vol. 13, no. 1, pp. 137-161, 2002. (in Persian)
2) B. Rezaei, M.R. Jahedmotlagh, and M. Farrokhi, “Local fuzzy controllers in HVDC Systems,” Journal of Power Sciences, vol. 15, no. 1, pp. 73-83, 2002. (in Persian)
1) M. Farrokhi and A. Kaveh, “Learning processes in neural networks,” Journal of the Academy of Sciences of Iran, vol. 5, no. 10 & 11, 1998. (in Persian)

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Peer Reviewed Journal Papers Peer Reviewed Journal Papers

 | Post date: 2023/04/6 | 
Journal Papers (Selected):
 

72) M. Ataollahi and M. Farrokhi, “Online path planning of cooperative mobile robots in unknown environments using improved Q-Learning and adaptive artificial potential field, “IET - Journal of Engineering, vol. 2023, no. 2, pp. 1-22, 2023.
71) F. SabbaghianBidgoli and M. Farrokhi, “Robust fuzzy observerbased faulttolerant control: A homogeneous polynomial Lyapunov function approach,” IET Control Theory & Applications, vol. 17, no. 1, pp. 74-91, 2023.
70) H. Toshani and M. Farrokhi, “Optimal discrete-time sliding-mode control based on recurrent neural network: a singular value approach,” Soft Computing, vol. 27, pp. 3083-3094, 2023.
69) S. Nazeran and M. Farrokhi, “2-DoF Self-tuning Fuzzy PID controller for under-actuated inverted pendulum system with uncertainties in model,” Journal of Control, vol. 16, no. 3, pp. 59-69, 2022. (In Persian)
68) N. Kalamain and M. Farrokhi, “Dynamic walking and stepping over large obstacles of biped robots: A poincaré map approach,” Journal of Engineering Science & Technology Review, vol. 15, no. 6, pp., 2022.
67) R. Heydari and M. Farrokhi, Robust event-triggered model predictive control of polytopic LPV systems: An input-to-state stability approach,” Systems & Control Letters, vol. 163, 105202, 2022.
66) F. Sabbaghian and M. Farrokhi, “Polynomial fuzzy observer-based integrated fault estimation and fault tolerant control with uncertainty and disturbance,” IEEE Transactions on Fuzzy Systems, vol. 30, no. 3, pp. 741-754, 2022.
65) F. Sabbaghian-Bidgoli and M. Farrokhi, “Sensor and actuator fault-tolerant control based on fuzzy unknown input observer: A polynomial fuzzy approach,” Applied Soft Computing, vol. 110, 107747, 2021.
64) R. Heydari and M. Farrokhi, “Robust tube-based model predictive control of LPV systems subject to adjustable additive disturbance set,” Automatica, vol. 129, 109672, 2021.
63) M.J. Shekari and M. Farrokhi, D. Arab Khaburi, “Speed Control and Torque Ripple Reduction of Switched Reluctance Motors based on Cascade Loops and Optimal Sliding-mode Controller,” Journal of Control, vol. 14, no. 4, pp. 143-154, 2021. (In Persian)
62) S. Rad-Moghadam and M. Farrokhi, “Optimal output feedback control of a class of uncertain systems with input constraints using parallel feedforward compensator,” Journal of the Franklin Institute, vol. 357, no. 18, pp. 13449-13476, 2020.
61) S RadMoghadam and M Farrokhi, “Adaptive control of robotic fingers for grasping stationary and falling soft balls using fuzzy Sugeno method,” Tabriz Journal of Electrical Engineering, vol. 49, no. 4, pp. 1613-1628, 2020. (In Persian)
60) S Shakourzadeh and M Farrokhi, “Fuzzy-backstepping control of quadruped robots,” Intelligent Service Robotics, vol. 13, no. 2, pp. 191-206, 2020.
59) MR Rahmani and M Farrokhi, “Fractional-order Hammerstein state-space modeling of nonlinear dynamic systems from input–output measurements,” ISA Transactions, vol. 96, pp. 177-184, 2020.
58) H Toshani and M Farrokhi, “Robust chattering-free optimal sliding-mode control using recurrent neural networks: An H-based approach,” Transactions of the Institute of Measurement and Control, vol. 41, no. 13, pp. 3565-3580, 2019.
57) R Khonsarian and M Farrokhi, “Vision-Based Model Predictive Control of Wheeled Mobile Robot,” Modares Mechanical Engineering, vol. 19, no. 7, pp. 1767-1777, 2019. (In Persian)
56) H Moodi, M Farrokhi, TM Guerra, and J Lauber, “On stabilization conditions for T–S systems with nonlinear consequent parts,” International Journal of Fuzzy Systems, vol. 21, pp. 84-94, 2019.
55) M Rahmani and M Farrokhi, “Robust identification of MISO neuro-fractional-order Hammerstein systems,” International Journal of Robust and Nonlinear Control, vol. 29, no. 7, pp. 2137-2148, 2019.
54) M Sadeghi and M Farrokhi, “Real-time identification of nonlinear multiple-input–multiple-output systems with unknown input time delay using Wiener model with Neuro-Laguerre structure,” International Journal of Adaptive Control and Signal Processing, vol. 33, no. 1, pp. 157-174, 2019.
53) M Sadeghi and M Farrokhi, “Block-oriented identification of non-linear systems with input time delay in presence of measurement noise: a Laguerre–neural network approach,” Transactions of the Institute of Measurement and Control, vol. 41, no. 1, pp. 117-126, 2019.
52) H Toshani and M Farrokhi, “Optimal sliding-mode control of linear systems with uncertainties and input constraints using projection neural network,” Optimal Control, Applications and Methods, vol. 39, pp. 963-980, 2018.
51) M.R. Rahmani and M. Farrokhi, “Nonlinear dynamic system identification using neuro-fractional-order Hammerstein model,” Transactions of the Institute of Measurement and Control, vol. 40, no. 13, pp. 3872-3883, 2018.
50) B. Vatankhah and M. Farrokhi, “Nonlinear adaptive model predictive control of constrained systems with offsetfree tracking behavior,” Asian Journal of Control, vol. 20, no 1, pp. 1-13, 2018.
49) M.R. Rahmani and M. Farrokhi, “Identification of neuro-fractional Hammerstein systems: a hybrid frequency-/time-domain approach,” Soft Computing, vol. 22, no. 24, pp. 8097-8106, 2018.
48) M. Sadeghi and M. Farrokhi, "Online identification of non-linear dynamic systems by Wiener model using subspace method and neural networksTransactions of the Institute of Measurement and Control, vol. 40, no. 2, pp. 666-674, 2018.
47) A. Kazemy and M. Farrokhi, "Synchronization of chaotic Lur’e systems with state and transmission line time delay: a linear matri inequality approach, Transactions of the Institute of Measurement and Control, vol. 39, no. 11, pp. 1703-1709, 2017.
46) B. Vatankhah and M. Farrokhi, “Nonlinear model-predictive control with disturbance rejection property using adaptive neural networks,” Journal of the Franklin Institute, vol. 354, no. 13, pp. 5201-5220, 2017.
45) B. Vatankhah and M. Farrokhi, “Offset-free adaptive nonlinear model predictive control with disturbance observer for DC-DC buck converters,” Turkish Journal of Electrical Engineering & Computer Sciences, vol. 25, pp. 2195-2206, 2017.
44) R Heydari, M Farrokhi, “Robust model predictive control of biped robots with adaptive on-line gait generation,” International Journal of Control, Automation and Systems, vol. 15, no. 1, pp. 329-344, 2017.
43) H. Toshani, M. Farrokhi, and Y. Alipouri, "Constarint generalized minimum variance controller design using projection-based recurrent neural network," IET Control Theory and Applications, vol. 11, no. 2, pp. 143-154, 2016.
42) S. Shakourzadeh and M. Farrokhi, "Optimal gait generation for quadruped robots using mesh adaptive direct search, International Journal of Mathematical Modelling and Numerical Optimisation, vol. 7, no.1, pp. 66-68, 2016.
41) H Moodi and M Farrokhi,  Robust observer-based controller design for Takagi–Sugeno systems with nonlinear consequent parts, Fuzzy Sets and Systems, vol. 273, pp. 141-154, 2014.
40) R. Heydari and M. Farrokhi, "Model Predictive Control of biped robot in up and down stairs based on neuro-adaptive predictor model," Electronic Industries, vol. 6, no. 2, pp.51-65, 2014. (In Persian)
39) H. Toshani and M. Farrokhi, “Real-time inverse kinematics of redundant manipulators using neural networks and quadratic programming: A Lyapunov-based approach,” Robotics and Autonomous Systems, vol. 62, issue 6, pp. 761-771, 2014.
38) H. Moodi and M. Farrokhi, “On observer-based controller design for Sugeno systems with unmeasurable premise variables,” ISA transactions, vol. 53, no. 2, pp. 305-316, 2014.
37) A.M. Jasour and M Farrokhi, “Adaptive neuro‐predictive control for redundant robot manipulators in presence of static and dynamic obstacles: A Lyapunov‐based approach,” International Journal of Adaptive Control and Signal Processing, vol. 28, issue 3-5, pp. 386-411, 2014.
36) H. Moodi and M. Farrokhi, “Robust observer design for Sugeno systems with incremental quadratic nonlinearity in the consequent,” International Journal of Applied Mathematics and Computer Science, vol. 23, no. 4, pp. 711-723, 2013.
35) M. Jahed and M. Farrokhi, “Robust adaptive fuzzy control of twin rotor MIMO system,” Soft Computing, vol. 17, no. 10, pp. 1847-1860, 2013.
34) A. Kazemy and M. Farrokhi, “Delay-dependent robust absolute stability criteria for uncertain multiple time-delayed Lur’e systems,” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 227, no. 3, pp. 286-297, 2013.
33) A. Kazemy and M. Farrokhi, "Robust absolute stability of multiple time-delay Lur'e systems with parametric uncertainties," Asian Journal of Control, vol. 15, no. 1, pp. 1-11, 2013.
32) M. Shahriari and M. Farrokhi, "On-line state of health estimation of VRLA batteries using state of charge," IEEE Transactions on Industrial Electronics, vol. 60, no. 1, pp. 191-202, 2013.
31) B. Torkaman and M. Farrokhi, “A Kalman-filter-based method for real-time visual tracking of a moving object using pan and tilt platform,” International Journal of Scientific and Engineering Research, vol. 3, no. 8, pp. 1-6, 2012.
30) M. Navvab Kashani, J. Aminian, S. Shahhosseini, and M Farrokhi, “Dynamic crude oil fouling prediction in industrial preheaters using optimized ANN based moving window technique,” Chemical Engineering Research and Design, vol. 90, no. 7, pp. 938-949, 2012.
29) H. Toshani and M. Farrokhi, “Inverse Kinematics of 7-DOF Robot Manipulator under joint position constraints and obstacles in workspace using neuro-fuzzy network and second-order programming method, Journal of Control, vol. 6, no. 2, pp. 23-37, 2012. (in Persian)
28) S.M. Hoseni and M. Farrokhi, “Free chattering fuzzy sliding mode controllers to robotic tracking problem,” International Journal of Advanced Design and Manufacturing Technology, vol. 5, no. 2, pp. 59-70, 2012.
27) M. Parsa and M. Farrokhi, "Robust trajectory-free model predictive control of biped robots with adaptive gait length, International Journal of Robotics, vol. 2, no. 1, pp. 46-55, 2011.
26) M. Hajatipour and M. Farrokhi, "Increasing accuracy in nonlinear sliding-mode observers without decreasing sampling time using frequency domain analysis," Journal of Mathematical Control and Information, vol. 29, no.1, pp. 1-22, 2011.
25) A. Badkoobeh and M. Farrokhi, “An adaptive approach for optimal path planning of unmanned aerial vehicles,” International Journal of Mathematical Modelling and Numerical Optimisation, vol. 2, no. 4, pp. 422-440, 2011.
24) A. Badkoobeh and M. Farrokhi, “Waypoint tracking of unmanned aerial vehicles using robust H/ H controller,” International Journal of Systems, Control and Communication, vol. 3, no. 4, pp. 357-376, 2011.
23) S. M. Hoseini, M. Farrokhi, A. Koshkouei, "Robust adaptive control of non-linear non-minimum phase systems with uncertainties," Automatica, vol. 47, issue 2, pp. 348-357, 2011.
22) A. Kazemy and M. Farrokhi, "Line-of-sight stabilization of submarine periscopes," Journal of Control, vol. 4, no. 1, pp. 1-11, 2010. (in Persian)
21) O. Seyyed-Mosavi and M. Farrokhi, "Optimal fuzzy adaptive controller design for manipulators with flexible links," Journal of Electrical Engineering of Tabriz University, vol. 39, no. 2, pp. 49-60, 2010. (in Persian)
20) M. Charkhgard and M. Farrokhi, “State of charge estimation for lithium-ion batteries using neural networks and extended Kalman filter," IEEE Transactions on Industrial Electronics, vol. 57, no. 12, pp. 4178-4187, 2010.
19) S. Mohammad-Hoseini and M. Farrokhi, “Observer-based stabilization of some nonlinear non-minimum phase systems using neural network,” International Journal of Modeling, Identification, and Control, vol. 11, no. 1-2, pp. 15-25, 2010.
18) M. Hajatipour and M. Farrokhi, "Chattering free with noise reduction in sliding-mode observers using frequency domain analysis," Journal of Process Control, vol. 20, issue 8, pp. 912-921, 2010.
17) S. Mohammad-Hoseini, M. Farrokhi, and A. J. Koshkouei, “Adaptive neural network output feedback stabilization of nonlinear non-minimum phase systems,” International Journal of Adaptive Control and Signal Processing, vol. 24, no. 1, pp. 65-82, 2010.
16) A. M. Jasour and M. Farrokhi, “Fuzzy improved adaptive neuro-NMPC for on-line path tracking and obstacle avoidance of redundant robotic manipulators,” International Journal of Automation and Control, vol. 4, no. 2, pp. 177-200, 2010.
15) S. Mohammad-Hoseini and M. Farrokhi, “Neuro-adaptive output feedback control for a class of nonlinear non-minimum phase systems,” Journal of Intelligent and Robotic Systems, vol. 56, no. 5, pp. 487-511, 2009.
14) S. A. Hosseini and M. Farrokhi, “New steady-state Kalman filter for tracking high maneuvering targets,” Journal of Control, vol. 2, no. 2, pp. 1-7, Winter 2009.
13) A. Alfi and M. Farrokhi, “Hybrid state-feedback sliding-mode controller design using fuzzy logic for four-wheel-steering vehicles,” Vehicle System Dynamics, vol. 47, no. 3, pp. 265-284, March 2009.
12) A. Alfi and M. Farrokhi, “A simple structure for bilateral transparent teleoperation systems with time delay,” ASME Journal of Dynamic Systems, Measurement, and Control, vol. 130, no. 4, December 2008.
11) A. Alfi and M. Farrokhi, “Bilateral control of teleoperation systems with bounded uncertain time delay,” Iranian Journal of Electrical and Computer Engineering, vol. 7, no. 1, pp. 39-46, Winter/Spring 2008.
10) S. Mohammad-Hoseini, M. Farrokhi, and A. J. Koshkouei, “Robust adaptive control of uncertain non-linear systems using neural networks,” International Journal of Control, vol.81, no. 8, pp. 1319-1330, August 2008.
9) A. Alfi and M. Farrokhi, “Force reflecting bilateral control of master-slave systems in teleoperation,” Journal of Intelligent and Robotic Systems, vol. 52, no. 2, pp. 209-232, June 2008.
8) M. Hajatipour and M. Farrokhi, “Adaptive intelligent speed control of switched reluctance motors with torque ripple reduction,” Energy Conversion and Management, vol. 49, issue 5, pp. 1028-1038, May 2008.
7) A. Ghaemi, Sh. Shahhoseini, M. G. Marageh, and M. Farrokhi, “Prediction of vapor-liquid equilibrium for aqueous solutions of electrolytes using artificial neural networks,” Journal of Applied Sciences, vol. 8, no. 4, pp. 615-621, 2008.
6) M. Mohebbi and M. Farrokhi, “Adaptive neuro control of parallel hybrid electric vehicles,” International Journal of Electric and Hybrid Vehicles, vol.1, no. 1, pp. 3-19, 2007.
5) A. Fanaei, M. Farrokhi, “Robust adaptive neuro-fuzzy controller for hybrid position/force control of robot manipulators in unknown environment,” Journal of Intelligent and Fuzzy System, vol. 17, no.2, pp. 125-144, 2006.
4) R. Noorossana, M. Farrokhi, and A. Saghaei, “Using neural networks to detect and classify out-of-control signals in autocorrelated processes,” Quality and Reliability Engineering International, vol. 19, pp. 493-504, Dec. 2003.
3) A. Ghanbari and M. Farrokhi, “Decentralized control of two-dimensional inverted pendulum using neuro-fuzzy modeling,” International Journal of Engineering Sciences, vol. 13, no. 1, pp. 137-161, 2002. (in Persian)
2) B. Rezaei, M.R. Jahedmotlagh, and M. Farrokhi, “Local fuzzy controllers in HVDC Systems,” Journal of Power Sciences, vol. 15, no. 1, pp. 73-83, 2002. (in Persian)
1) M. Farrokhi and A. Kaveh, “Learning processes in neural networks,” Journal of the Academy of Sciences of Iran, vol. 5, no. 10 & 11, 1998. (in Persian)

 

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Conference Papers (selected):

 | Post date: 2023/03/10 | 
Conference Papers (selected):
 
115) M.R. Rahmani and M. Farrokhi, “Robust Identification of Neuro-Fractional-Order Hammerstein Systems,” 5th International Conference on Control, Instrumentation, and Automation, Shiraz, Iran, 2017.
114) M. Talebi and M. Farrokhi, Adaptive fuzzy-PD controller for 3D walking of biped robots, 7th Joint Conference on AI & Robotics (IRANOPEN), Qazvin, Iran, 2015.
113) B. Vatankhah and M. Farrokhi, “Offset-free adaptive nonlinear model predictive control for pneumatic servo system,” 2nd RSI/ISM International Conference on Robotics and Mechatronics (ICRoM), Tehran, Iran, 2014.
112) S. Shakourzadeh and M. Farrokhi, “Stable walking of quadruped robots using fuzzy back-stepping approach,” 2nd RSI/ISM International Conference on Robotics and Mechatronics (ICRom), Tehran, Iran, 2014.
111) R. Heydari and M. Farrokhi, “Model predictive control for biped robots in climbing stairs,” 22nd Iranian Conference on Electrical Engineering (ICEE), Tehran, Iran, 2014.
110) H. Moodi, J. Lauber, T.M. Guerra, and M. Farrokhi,Non-quadratic Stabilization for TS Systems with Nonlinear Consequent Parts,” 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Montpellier, France, 2014.
109) H. Moodi and M. Farrokhi, “Robust observer-based controller design for TS systems with nonlinear consequent parts,” 21st Iranian Conference on Electrical Engineering, Mashhad, Iran, 2013.
108) H. Moodi and M. Farrokhi,Robust observer design for TS systems with nonlinear consequent parts,” 2nd International eConference on Computer and Knowledge Engineering, Mashhad, Iran, 2012.
107) H. Moodi and M. Farrokhi,State estimation of fuzzy Sugeno systems with local nonlinear rules and unmeasurable premise variables,” 17th International Conference on Methods and Models in Automation and Robotics, Międzyzdroje, Poland, 2012.
106) H. Mazdarani and M. Farrokhi,Adaptive neuro-predictive control of robot manipulators in work space,” 17th International Conference on Methods and Models in Automation and Robotics, Międzyzdroje, Poland, 2012.
105) B. Torkaman and M. Farrokhi, "Real-time visual tracking of a moving object using pan and tilt platform: A Kalman filter approach", 20th Iranian Conference on Electrical Engineering, Tehran, Iran, 2012.
104) H. Toshani, and M. Farrokhi, "Kinematic control of a seven DOF robot manipulator with joint limits and obstacle avoidance using neural networks,"2nd International Conference on Control, Instrumentation, and Automation," Shiraz, Iran, 2012.
103) N. Kalamian and M. Farrokhi, "Stepping of biped robots over large obstacles using NMPC controller," 2nd International Conference on Control, Instrumentation, and Automation," Shiraz, Iran, 2012.
102) B. Torkaman and M. Farrokhi, "Real-time target tracking using pan and tilt platform: A Kalman filter approach,"3rd Iranian Conference on Electrical and Electronics Engineering," Gonabad, Iran, 2012.
101) N. Kalamian and M. Farrokhi, ”Dynamic walking of biped robots with obstacles using predictive controller," International eConference on Computer and Knowledge Engineering, Mashhad, Iran, 2011.
100) E. Mirakhorli and M. Farrokhi, Sliding-mode state-feedback control of non-minimum phase quadruple tank system using fuzzy logic," 18th IFAC World Congress, Milan, Italy, 2011.
99) M. Jahed and M. Farrokhi, "Real-time fuzzy identification of twin rotor MIMO system,"11th Iranian Conference on Fuzzy Systems, Zahedan, Iran, 2011.
98) M. Jahed and M. Farrokhi, "Adaptive control of twin rotor MIMO system using fuzzy logic, 11th Iranian Conference on Fuzzy Systems, Zahedan, Iran, 2011.
97) E. Mirakhorli and M. Farrokhi, "Designing a hybrid controller for non-minimum phase quadruple tank system with model uncertainties, 11th Iranian Conference on Fuzzy Systems, Zahedan, Iran, 2011.
96) Z. Sinaeefar and M. Farrokhi, "Adaptive fuzzy predictive hybrid position/velocity control of nonholonomic wheeled mobile robots," 11th Iranian Conference on Fuzzy Systems, Zahedan, Iran, 2011.
95) H. Mazdarani and M. Farrokhi, "Adaptive model predictive position/velocity control of robot manipulators," 2nd Iranian International Conference on Industrial Automation, Tehran, Iran, 2011.
94) M. Shahriari and M. Farrokhi, "State-of-charge estimation of VRLA batteries using neural networks and extended Kalman filter," IFAC Workshop on Intelligent Control Systems, Sinaia, Romania, 2010.
93) A. M. Jasour and M. Farrokhi, "Control of redundant manipulators in non-stationary environments using neural networks and model predictive control," IFAC Workshop on Intelligent Control Systems, Sinaia, Romania, 2010.
92) M. Parsa and M. Farrokhi, "Trajectory-free NMPC-based control of 5-link biped robots with adaptive foot positioning," International Conference on Control, Instrumentation and Automation, Tehran, Iran, 2010.
91) H. Torab and M. Farrokhi, Error reduction of 2-DOF gimbal gyros using LQG/LTR controller," International Conference on Control, Instrumentation and Automation, Tehran, Iran, 2010.
90) A. Kazemy and M. Farrokhi, "Robust absolute stability criteria for uncertain Lur'e systems with multiple time delays," International Conference on Control, Instrumentation and Automation, Tehran, Iran, 2010.
89) M. Parsa and M. Farrokhi, "Robust nonlinear model predictive trajectory free control of biped robots based on nonlinear disturbance observer," 18th Iranian Conference on Electrical Engineering, Isfahan, Iran, 2010.
88) M. Hajatipour and M. Farrokhi, "Frequency analysis of relay feedback systems based on phase properties," 18th Iranian Conference on Electrical Engineering, Isfahan, Iran, 2010.
87) M. Shahriari and M. Farrokhi, "State of health estimation of VRLA batteries using fuzzy logic," 18th Iranian Conference on Electrical Engineering, Isfahan, Iran, 2010.
86) A. Kazemy and M. Farrokhi, "Delay-independent robust absolute stability criteria of uncertain Lur'e systems with multiple time-delays," 18th Iranian Conference on Electrical Engineering, Isfahan, Iran, 2010.
85) A. M. Jasour and M. Farrokhi, “Path tracking and obstacle avoidance for redundant robotic arms using fuzzy NMPC,” American Control Conference, St. Louis, USA, 2009.
84) A. M. Jasour and M. Farrokhi, “Adaptive neuro-NMPC control of redundant robotic manipulators for path tracking and obstacle avoidance,” European Control Conference, Budapest, Hungary, 2009.
83) A. M. Jasour and M. Farrokhi, “Obstacle avoidance and grasping moving objects in non-stationary environments for redundant robot manipulators using NMPC,” 17th Iranian Conference on Electrical Engineering, Tehran, Iran, 2009.
82) M. Gorji Sefidmazgi and M. Farrokhi, “Online calibration of inertial sensors using Kalman filters and artificial neural networks,”    17th Iranian Conference on Electrical Engineering, Tehran, Iran, 2009.
81) S. M. Hoseini and M. Farrokhi, “Output-feedback stabilization of nonlinear non-minimum phase systems using neural network,” 5th International Symposium on Mechatronics and its applications, Amman, Jordan, 2008.
80) A. Kazemy and M. Farrokhi, “Modeling and hybrid intelligent control of submarine periscope,” 7th Iranian Conference on Aerospace Engineering, Tehran, Iran, 2008.
79) M. Gorji and M. Farrokhi, “Sensor fusion of GPS and inertial navigation data using neural networks, 7th Iranian Conference on Aerospace Engineering, Tehran, Iran, 2008. (in Persian)
78) A. Badkoobeh and M. Farrokhi, “A novel algorithm for UAV path planning of terrain following flight,” 7th Iranian Conference on Aerospace Engineering, Tehran, Iran, 2008. (in Persian)
77) S. M. Hoseini and M. Farrokhi, “Adaptive stabilization of non-minimum phase nonlinear systems using neural networks,” 9th IFAC Workshop on Adaptation and Learning in Control and Signal Processing, St. Petersburg, Russia, 2007.
76) S. M. Hoseini, M. Farrokhi, and A. J. Koshkouei, “Adaptive output feedback control of nonlinear non-minimum phase systems using neural networks,” International Conference on Systems Science, Wrocław, Poland, 2007.
75) A. Kazemi, S. A. Hosseini, and M. Farrokhi, “Target-based line-of-site stabilization in periscopes,” IEEE Mediterranean Conference on Control and Automation, Athens, Greece, 2007.
74) A. Kazemi, S. A. Hosseini, and M. Farrokhi, “Second order diagonal recurrent neural network,” IEEE International Symposium on Industrial Electrinics, Vigo, Spain, 2007.
73) A. Kazemi, S. A. Hosseini, and M. Farrokhi, “On-line intelligent control of submarine periscopes,” IEEE International Symposium on Industrial Electronics, Vigo, Spain, 2007.
72) A. Kazemi, S. A. Hosseini, and M. Farrokhi, “Steady-state error reduction with fuzzy gain scheduling, 4th IEEE GCC, Bahrain, 2007.
71) A. Kazemi and M. Farrokhi, “Line of site stabilization in submarine periscope against sea surface movements,” 15th Iranian Conference on Electrical Engineering, Tehran, Iran, 2007.
70) E. Zare-Atabaki and M. Farrokhi, “Design of NMPC for mobile robot guidance in presence of obstacles,” 15th Annual (International) Conference on Mechanical Engineering, Tehran, Iran, 2007. (in Persian)
69) A. Badkoobeh and M. Farrokhi, “Modelling and inverse neuro-control for terrain following flight using RBF network,” 15th Annual (International) Conference on Mechanical Engineering, Tehran, Iran, 2007. (in Persian)
68) A. Alfi and M. Farrokhi, “Bilateral Control of Master-Slave Manipulators,” 15th Annual (International) Conference  on Mechanical Engineering, Tehran, Iran, 2007.
Until here 67) A. Kazemy and M. Farrokhi, “Image stabilization in submarine periscopes against see wave movement ,” 6th Iranian Conference on Aerospace Engineering, Tehran, Iran, 2007. (in Persian)
66) S. A. Hosseini, A. Kazemi, and M. Farrokhi, “A novel alpha-beta-gamma-eta tracking filter for jerky models,” 6th Iranian Conference on Aerospace Engineering, Tehran, Iran, 2007. (in Persian)
65) A. Badkoobeh and M. Farrokhi, “Inverse neuro-controller for terrain following flight, 6th Iranian Conference on Aerospace Engineering, Tehran, Iran, 2007. (in Persian)
64) M. Forghani and M. Farrokhi, “Altitude estimation of LEO satellites using neural networks,” 6th Iranian  Conference on Aerospace Engineering, Tehran, Iran, 2007. (in Persian)
63) A. Alfi and M. Farrokhi, “Bilateral transparent teleoperation with long time-varying delay: new control design and stability analysis,” 45th IEEE Conference on Decision and Control, San Diego, USA, 2006.
62) A. Alfi and M. Farrokhi, “Bilateral Control to Achieve Transparent Teleoperation with Perturbation of Static Time Delay,” IEEE Industrial Electronic Conference, Paris, France, 2006.
61) A. Alfi and M. Farrokhi, “A New Control Method for Telerobotic Systems,” 14th Annual (International) Conference on Mechanical Engineering, Isfahan, Iran, 2006.
60) A. Alfi and M. Farrokhi, “On the closed-loop stability analysis of transparent teleoperation systems with time-varying delay using a new structure,” 6th IFAC Workshop on Time-Delay Systems, L’Aquila, Italy, 2006.
59) M. Razi, M. Farrokhi, M. H. Saeidi, and A. R. Faghih Khorasani, “Neuro-predictive control for automotive air conditioning system,” IEEE International Conference on Engineering of Intelligent Systems, Islamabad, Pakistan, 2006.
58) A. Ghanbari and M. Farrokhi, “Decentralized neuro-fuzzy controller design using decoupled sliding-mode structure for two-dimensional inverted pendulum,” IEEE International Conference on Engineering of Intelligent Systems, Islamabad, Pakistan, 2006.
57) B. Rezaie, Z. Rahmani Cherati, M. R. Jahedmotlagh, and M. Farrokhi, “Stabilization of the Lorenz chaotic equations by fuzzy controller,” World Enformatika Society, Transactions on Engineering, Computing and Technology, vol. 15, pp. 246-249, Barcelona, Spain, 2006.
56) A. Alfi and M. Farrokhi, “Bilateral control to achieve transparent teleoperation with perturbation of static time delay,” 32nd IEEE Industrial Electronics Conference, Paris, France, 2006.
55) S. M. Hoseini, M. Farrokhi, and A. Koshkouei, “Robust adaptive control of nonlinear systems using neural networks,” 18th International Conference on Systems Engineering, Coventry, UK, 2006.
54) S. M. Hoseini and M. Farrokhi, “Discrete sliding control of nonlinear nonaffine systems using neural network and approximate models,” 14th Iranian Conference on Electrical Engineering, Tehran, Iran, 2006.
53) A. Alfi and M. Farrokhi, “Robust bilateral teleoperation with varying time-delay,” 14th Iranian Conference on Electrical Engineering, Tehran, Iran, 2006.
52) M. Mohebbi, M. Charkhgard, and M. Farrokhi, “Optimal neuro-fuzzy control of parallel hybrid electric vehicles,” IEEE Vehicle Power and Propulsion Conference, Chicago, USA, 2005.
51)  A. Fanaei and M. Farrokhi, “Adaptive neuro-fuzzy controller for hybrid position/force control of robotic manipulators,” 16th IFAC World Congress, Prague, Czech Republic, 2005.
50)  M. Mohebbi and M. Farrokhi, “Optimal fuzzy control of parallel hybrid electric vehicles,” International Conference on Control, Automation, and Systems, Gyeonggi-Do, Korea, 2005.
49)  A. Alfi, M.R. Jahedmotlagh, and M. Farrokhi, “Control of flexible-joint robot manipulators moving in vertical plane in presence of disturbances,” 13th Annual (International) Conference on Mechanical Engineering, Isfahan, Iran,  2005. (in Persian)
48)  M. Hajatipour and M. Farrokhi, “Neuro-controller for speed control and audio -noise reduction in switched reluctance motors using in hybrid vehicles,” 13th Iranian Conference on Electrical Engineering, Zanjan, Iran, 2005. (in Persian)
47)  B. Rezaii, M.R. Jahedmotlagh, M. Farrokhi, and Z. Rahmani, “Identification and control of chaotic systems using neural networks with extended redial basis functions,” 13th Iranian Conference on Electrical Engineering, Zanjan, Iran, 2005. (in Persian)
46)  A. Kazemi, M. Farrokhi, and M. Niasati, “Conformity functioning of SVC and UTLC using fuzzy logic,“ 13th Iranian Conference on Electrical Engineering, Zanjan, Iran, 2005. (in Persian)
45)  N. Shariatmadari, M. Farrokhi, and A. Falamaki, “Prediction of partition coefficients for cadmium by neural networks,” 57th Canadian Geotechnical Conference, Quebec, Canada, 2004.
44)  M. R. Taghavi and M. Farrokhi, “Designing fuzzy VSPID controller for vehicle speed control,” 12th Annual (International) Conference on Mechanical Engineering, Tehran, Iran, 2004.
43)  A. Alfi and M. Farrokhi, “Handling improvement of four-wheel-steering vehicles at high speeds,” 12th Iranian Conference on Electrical Engineering, Mashhad, Iran, 2004. (in Persian)
42)  A. Moharrampour and M. Farrokhi, “Improvement of infrared homing-missile guidance against countermeasures using fuzzy system,” 12th Iranian Conference on Electrical Engineering, Mashhad, Iran, 2004. (in Persian)
41)  A. Moharrampour and M. Farrokhi, “Decoy countermeasures in infrared homing missiles using fuzzy logic,” 5th Iranian Conference on Fuzzy Systems, Tehran, Iran, 2004. (in Persian)
40)  A. Fanaei, O. Seyyed-Mousavi, and M. Farrokhi, “Adaptive neuro-fuzzy hybrid position/force control of robot manipulators with surface friction compensator in contact with unknown environments,” 5th Iranian Conference on Fuzzy Systems, Tehran, Iran, 2004. (in Persian)
39)  N. Ramezani, M. Farrokhi, and M. Babaei, “A novel fuzzy-based approach for optimal capacitor placement in distribution systems,” 19th International Conference on Power Electric Engineering, Tehran, Iran, 2004. (in Persian)
38)  M. Hajatipour and M. Farrokhi, “Fuzzy clustering algorithm for high impedance fault detection,” 19th International Power System Conference, Tehran, Iran, 2004. (in Persian)
37)  A. Gholami, A. Kazemi, M. Farrokhi, and F. Matin, “Substation and distribution network reconfiguration by artificial neural networks for loss minimization,” 19th International Power System Conference, Tehran, Iran, 2004. (in Persian)
36)  M. Mirzaii, A. Gholami, and M. Farrokhi, “Diagnostic of transformer insulation faults using DGA method and fuzzy-neural networks,” 19th International Power System Conference, Tehran, Iran, 2004. (in Persian)
35)  H.A. Shayanfar, M. Farrokhi, and H. Shayeghi, “Application of radial basis function networks to power system load frequency control,” International Conference on Artificial Intelligence, Las Vegas, USA, 2003.
34)  M. Dadashi, M.R. Jahedmotlagh, M. Farrokhi, “Decentralized SSV controller for large-scale nonlinear systems,” 18th International Conference on Power Electric Engineering, Tehran, Iran, 2003. (in Persian)
33)  A. Moharrampour, M. Farrokhi, and J. Poshtan, “Nonlinear control of homing missiles using multilayer neural network,” 2nd Conference of Iranian Aerospace Organization, Tehran, Iran, 2003. (in Persian)
32)  M.R. Mousavi, K. Mohammadi, M. Refan, and M. Farrokhi, “Prediction of error and improvement of position accuracy on low cost GPS receiver with MLP neural network,” 11th Iranian Conference on Electrical Engineering, Shiraz, Iran, 2003.
31)  H. Shabani, M. Farrokhi, and S. Baradaran-Shokohi, “A new method for edge detection using classical and fuzzy methods,” 11th Iranian Conference on Electrical Engineering, Shiraz, Iran, 2003. (in Persian)
30)  H. Mojallali, M. Farrokhi, and A.A. Jalali, “Noise cancellation in noncausal conditions for feedforward active noise control system using fuzzy logic, 11th Iranian Conference on Electrical Engineering, Shiraz, Iran, 2003. (in Persian)
29) M. Farrokhi, A. Gholami, and M. Mirzai, “Error identification and cellulose insulating property in power transformers using fuzzy logic,” 11th Iranian Conference on Electrical Engineering, Shiraz, Iran, 2003. (in Persian)
28)  H. Moghbeli, M. Shahnazari, and M. Farrokhi, “Sensorless vector control of PMSM drive using fuzzy logic for EV/HEV applications,” SAE World Congress, USA, 2003.
27)  A. Alfi and M. Farrokhi, “Incremental fuzzy P + ID controller design for four-wheel-steering vehicles for improvement of handling characteristics,” 10th Annual (International) Conference on Mechanical Engineering, Tehran, Iran, 2002. (in Persian)
26)  B. Rezaii, M.R. Jahedmotlagh, and M. Farrokhi, “Fuzzy tuning of local and central controllers in HVDC systems,” 10th Iranian Conference on Electrical Engineering, Tabriz, Iran, 2002. (in Persian)
25)  A. Alfi and M. Farrokhi, “Robust and stable state-feedback controller design in sliding mode for four-wheel-steering vehicles,” 10th Iranian Conference on Electrical Engineering, Tabriz, Iran, 2002. (in Persian)
24)  A. Rahideh, H. Moghbeli, M. Farrokhi, and A.A. Safavi, “Estimation of feedback signals in induction motors with vector control using three neural networks,” 10th Iranian Conference on Electrical Engineering, Tabriz, Iran, 2002. (in Persian)
23)  S. Jalilzadeh and M. Farrokhi, “Unit commitment using hybrid neuro-fuzzy systems,” 10th Iranian Conference on Electrical Engineering, Tabriz, Iran, 2002. (in Persian)
22)  A. Alfi and M. Farrokhi, “Adaptive fuzzy controller for handling improvement of four-wheel-steering systems,” 15th IFAC World Congress, Barcelona, Spain, 2002.
21)  S. M. Hoseini, A. Alfi, M. Farrokhi, and M.R. Jahedmotlagh, “Fuzzy-Sliding State-Feedback Control of Nonlinear Ball Suspension System,” 15th IFAC World Congress, Barcelona, Spain, 2002.
20)  A. Ghanbari and M. Farrokhi, “Decentralized decoupled sliding-mode controller for two-dimensional inverted pendulum using neuro-fuzzy modeling,” IFAC Advanced Fuzzy-Neural Conference, Valencia, Spain, 2001.
19)  M. Rafii and M. Farrokhi, “Evaluation of used and repaired power transformers using neural networks,” IEEE/PES Transmission and Distribution Conference, Atlanta, USA, 2001.
18)  M. Farrokhi, M. Tolue, and H. A. Shayanfar, “Voltage profile optimization in distribution systems using neural networks,” IASTED International Conference on Power Engineering Systems, pp.131-136, Rhodes, Greece, 2001.
17)  A. Farhadi and M. Farrokhi, “Improvement of neuro-predictive control using a new scheme for training,” IASTED International Conference on Modeling, Identification and Control, vol. 1, pp. 398-402, Feb. 2001, Innsbruck, Austria.
16)  A. Ghanbari and M. Farrokhi, “Decentralized decoupled sliding-mode controller for two-dimensional inverted pendulum with neuro-fuzzy modeling,” 9th Iranian Conference on Electrical Engineering, vol. 4, pp. 421-428, 2001, Tehran, IRAN, 2001. (in Persian)
15)  A. Salami and M. Farroki, “Control of installed capacitors in distribution systems using radial basis function networks,” 9th Iranian Conference on Electrical Engineering, vol. 1, pp. 341-347, Tehran, Iran, 2001. (in Persian)
14)  M. Rafii, M. Farrokhi, and B. Ganjeii, “Fuzzy decision making for power transformer oil,” 9th Iranian Conference on Electrical Engineering, vol. 4, pp. 581-587, Tehran, Iran, 2001. (in Persian)
13)  M. Azadi, M. Farrokhi, and A.A. Safavi, “Estimation of vector-control currents of synchronous motors with permanent magnet using neural networks,” 9th Iranian Conference on Electrical Engineering, vol. 4, pp. 51-58, Tehran, Iran, 2001. (in Persian)
12)  A. Alfi and M. Farrokhi “Design of adaptive fuzzy controller for four-wheel steering vehicles with fuzzy modeling,” 9th Iranian Conference on Electrical Engineering, vol. 4, pp. 401-407, Tehran, Iran, 2001. (in Persian)
11)  A. Lotfi, M. Farrokhi, and F.H. Kashani, “Hybrid neuro-fuzzy reasoning for analysis of micro-strip lines,” 9th Iranian Conference on Electrical Engineering, vol. 4, pp. 441-448, Tehran, Iran, 2001. (in Persian)
10) R. Asgari, A. Mohammadshahri, and M. Farrokhi, “Adaptive fuzzy controller for the robot arm of anti-personnel mine detectors,” 9th Iranian Conference on Electrical Engineering, vol. 4, pp. 161-168, Tehran, Iran, 2001. (in Persian)
9)  M. Niasati and M. Farrokhi, “Simulation of distance relay using neural networks,” 16th International Conference on Power Electric Engineering, Teharn, Iran, 2001. (in Persian)
8)  G. Ezzatzadegan, M. Farrokhi, and A.A. Jalali, “Design of neuro-fuzzy identifiers based on fuzzy partitioning method,” 2nd International Conference on Applied Mathematics, vol. 1, pp. 536-446, Tehran, Iran, 2000. (in Persian)
7)  G. Ezzatzadegan, M. Farrokhi, and A.A. Jalali, “Identification of dynamical systems of robots using compensatory neuro-fuzzy networks,” 2nd International Conference on Applied Mathematics, vol. 2, pp. 420-429, Tehran, Iran, 2000. (in Persian)
6) H. Sabzpoushan and M. Farrokhi, “Modeling of nonlinear dynamical systems using neural networks,” 4th Iranian Conference on Differential Equations, Dynamical Systems and It’s Applications, Mashhad, Iran, 2000. (in Persian)
5)  M. Seddighizadeh, M. Farrokhi, and M. Shahrtash, “High impedance fault detection using neural networks based on radial basis functions,” 15th International Power System Conference, Tehran, Iran, 2000. (in Persian)
4)  M. Rafii and M. Farrokhi, “Evaluation of used and repaired power transformers using neural networks,” 15th International Power System Conference, Tehran, Iran, 2000. (in Persian)
3)  M. Badii and M. Farrokhi, “Parameter estimation of nonlinear ARMA models using RBF networks,” 8th Iranian Conference on Electrical Engineering, vol. 3, pp. 353-360, Isfahan, Iran, 2000. (in Persian)
2)  C. Işik and M. Farrokhi “Recurrent neuro-fuzzy systems,” North American Fuzzy Information Processing Society ‘97, pp. 362-366, Syracuse, New York, USA, 1997.
1)  M. Farrokhi and C. Işik, “Application of Prony signal analysis to recurrent neural networks,” IEEE World Congress on Computational Intelligence, vol. 1, pp. 413-418, Orlando, Florida, USA, 1994.

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Dr. Farrokhi

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   Dr. Mohammad Farrokhi

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