Professor

Phone No: +98 21 84062317

Email: sedigh@kntu.ac.ir

Personal website: http://wp.kntu.ac.ir/sedigh

Education:

       Ph.D.: Control Engineering, University of Salford, England, 1988.

       M.Sc.: Control System, UMIST, England, 1985.

       B.Sc.:Single Honors Mathematics, University of Newcastle Upon Tyne, England, 1983.

Research Interest:

• Robust multivariable and Adaptive Control Theory
• Intelligent Control (Genetic Design and Neural Networks)
• Industrial applications
• Predictability and prediction of the system’s behavior
• History of Control

Biography:

Dr. Ali Khaki-Sedigh received his B.Sc. degree in Mathematics from the University of Newcastle Upon Tyne, England in 1983, his M. Eng in Control System, UMIST, England, in 1985, and a Ph.D. degree in Control Engineering, University of Salford, England in 1988. He is currently a Professor in the Electrical Engineering Department at K.N. Toosi University of Technology, Tehran, Iran. His publications include ten books and more than 200 papers in international journals and conference proceedings, and his research interest is Robust Multivariable and Adaptive Control, Theory Intelligent Control (Genetic Design and Neural Networks), Predictability and prediction of systems behavior.

Selected journal papers:

1. Edalati, L., Khaki Sedigh, A., Aliyari Shooredeli, M., Moarefianpour, A, “Adaptive fuzzy dynamic surface control of nonlinear systems with input saturation and time-varying output constraints,” Mechanical Systems and Signal Processing, was published in 2018.
2. Agand, P., Shoorehdeli, M.A., Khaki-Sedigh, A., “ Adaptive recurrent neural network with Lyapunov stability learning rules for robot dynamic terms identification,” Engineering Applications of Artificial Intelligence, 2017.
3. Nouri Manzar, M., Battistelli, G., Khaki Sedigh, A., “Input-constrained multi-model unfalsified switching control,” Automatica, 2017.
4. Hashemipour, S.H., Vasegh, N., Sedigh, A.K., “Decentralized MRAC for Large-Scale Interconnected Systems with State and Input Delays by Integrators Inclusion,” Journal of Dynamic Systems, Measurement, and Control, Transactions of the ASME, 2017.
5. Hashemipour, S.H., Vasegh, N., Sedigh, A.K., “ Decentralized model reference adaptive control for interconnected time-delay systems with delay in state and compensation of long delay in input by nested prediction,” International Journal of Control, Automation and Systems, 2017.