Volume 10 Number 4
August 2013
Article Contents
Hassan A. Yousef and Mohamed Hamdy. Observer-based Adaptive Fuzzy Control for a Class of Nonlinear Time-delay Systems. International Journal of Automation and Computing, vol. 10, no. 4, pp. 275-280, 2013. doi: 10.1007/s11633-013-0721-1
Cite as: Hassan A. Yousef and Mohamed Hamdy. Observer-based Adaptive Fuzzy Control for a Class of Nonlinear Time-delay Systems. International Journal of Automation and Computing, vol. 10, no. 4, pp. 275-280, 2013. doi: 10.1007/s11633-013-0721-1

Observer-based Adaptive Fuzzy Control for a Class of Nonlinear Time-delay Systems

Author Biography:
  • Hassan A. Yousef received the B. Sc. and M. Sc. degrees in electrical engineering from Alexandria University, Egypt, and the Ph.D. degree in electrical engineering from University of Pittsburgh, USA in 1979, 1983 and 1989, respectively. He is currently a professor with Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University, Sultanate of Oman. His research interests include intelligent and adaptive control, fuzzy control applications to electrical drive systems, large scale systems, and nonlinear control. E-mail: hyousef@squ.edu.om

  • Corresponding author: Mohamed Hamdy
  • Received: 2012-11-02
通讯作者: 陈斌, bchen63@163.com
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Observer-based Adaptive Fuzzy Control for a Class of Nonlinear Time-delay Systems

  • Corresponding author: Mohamed Hamdy

Abstract: An observer-based adaptive fuzzy control is presented for a class of nonlinear systems with unknown time delays. The state observer is first designed, and then the controller is designed via the adaptive fuzzy control method based on the observed states. Both the designed observer and controller are independent of time delays. Using an appropriate Lyapunov-Krasovskii functional, the uncertainty of the unknown time delay is compensated, and then the fuzzy logic system in Mamdani type is utilized to approximate the unknown nonlinear functions. Based on the Lyapunov stability theory, the constructed observer-based controller and the closed-loop system are proved to be asymptotically stable. The designed control law is independent of the time delays and has a simple form with only one adaptive parameter vector, which is to be updated on-line. Simulation results are presented to demonstrate the effectiveness of the proposed approach.

Hassan A. Yousef and Mohamed Hamdy. Observer-based Adaptive Fuzzy Control for a Class of Nonlinear Time-delay Systems. International Journal of Automation and Computing, vol. 10, no. 4, pp. 275-280, 2013. doi: 10.1007/s11633-013-0721-1
Citation: Hassan A. Yousef and Mohamed Hamdy. Observer-based Adaptive Fuzzy Control for a Class of Nonlinear Time-delay Systems. International Journal of Automation and Computing, vol. 10, no. 4, pp. 275-280, 2013. doi: 10.1007/s11633-013-0721-1
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