Sliding-Mode Fuzzy Controllers - Ahmadieh Khanesar, Mojtaba

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Résumé :
Shows how increasingly popular sliding-mode control techniques can be integrated with adaptive fuzzy techniques Brings together methods scattered through the literature and provides in-depth comparison of their pros and cons MATLAB? and Simulink? codes allow the reader to simulate controllers described in the text...

Biographie:
Doctor Mojtaba Ahmadieh Khanesar received the M.S. and Ph.D. degree in Control Engineering from K. N. Toosi University of Technology, Tehran, Iran, in 2007 and 2012, respectively. In 2010, he has held a 9-month visiting student position at Bogazici University, Istanbul, Turkey. He is currently Assistant Professor in the Control and Electrical Engineering Department, Semnan University, Semnan, Iran. His current research interests are sliding-mode control, adaptive controller design, fuzzy systems and intelligent optimization.? Okyay Kaynak received the B.Sc. (first-class honors) and Ph.D. degrees in electronic and electrical engineering from the University of Birmingham, U.K., in 1969 and 1972, respectively. From 1972 to 1979, he held various positions within the industry. In 1979, he joined the Department of Electrical and Electronics Engineering, Bogazici University, Istanbul, Turkey, where he is presently an Emeritus Professor. He also holds a 1000 Talents Program Professor title at the University of Science and Technology, Beijing, China. He has hold long-term (near to or more than a year) Visiting Professor/Scholar positions at various institutions in Japan, Germany, U.S., Singapore, and China. His current main research interest is in the broad field of intelligent control. He has authored three books and edited five and authored or coauthored more than 400 papers that have appeared in various journals, books, and conference proceedings. He has been in the editorial boards of several journals. Currently, he is the Editor-in-Chief of the Springer journal...

Sommaire:
Mathematica Preliminaries.- Fuzzy and Fuzzy Neural-Network Systems: Type 1 and Type 2.- Sliding-Mode Control: Design, Advantages and Challenges.- Sliding-Mode Fuzzy-Logic Controllers.- Sliding-Mode Fuzzy Neural-Network Controllers.- Sliding-Mode Fuzzy Neural-Network Controllers to Control Systems over Networks.- Simulation Results.