Journal Papers (Selected):
3) 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.
4) M. Jahed and M. Farrokhi, “Robust Adaptive Fuzzy Control of Twin-Rotor MIMO System,” Soft Computing, DOI 10.1007/s00500-013-1026-6.
5) 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.
6) M. Parsa and M. Farrokhi, Robust trajectory-free model predictive control of piped robots with adaptive gait length, International Journal of Robotics, vol. 2, no. 1, pp. 46-55, 2011.
7) 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.
8) 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.
9) A. Badkoobeh and M. Farrokhi, “Waypoint tracking of unmanned aerial vehicles using robust H2 / H∞ controller,” International Journal of Systems, Control and Communication, vol. 3, no. 4, pp. 357-376, 2011.
10) 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.
11) 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.
12) 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.
13) 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.
14) 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.
15) 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.
16) 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.
17) 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.
18) 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.
19) 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.
20) 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.
21) 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.
22) 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.
23) 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.
24) 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.
25) 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.
26) 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.
27) 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.