NDLI: Robust Adaptive Controller Design for Nonlinear Time-Delay Systems via T

Content Provider	IEEE Xplore Digital Library
Author	Changchun Hua Qing-Guo Wang Xinping Guan
Copyright Year	1993
Abstract	The robust control problem is investigated for a class of uncertain nonlinear time-delay systems. Via the Takagi-Sugeno (T-S) fuzzification, we obtain the T-S fuzzy systems with each local model in the form of time-delay systems with uncertain nonlinear functions. The mismatched nonlinear functions satisfy the Lipschitz condition, while the matched parts are bounded by nonlinear functions with unknown coefficients. Based on the input matrix, the system is decomposed into two cascade subsystems. The virtual controller is designed for the first subsystem, and then, a memoryless adaptive controller is presented. By employing a new Lyapunov Krasovskii functional, we show that the resulting closed-loop system is exponentially stable and the solutions are uniformly ultimately bounded. Finally, simulation examples are given to show the effectiveness of our main results.
Sponsorship	IEEE Computational Intelligence Society
Starting Page	901
Ending Page	910
Page Count	10
File Size	238439
File Format	PDF
ISSN	10636706
Volume Number	17
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robust control Programmable control Adaptive control Nonlinear control systems Control systems Fuzzy control Fuzzy systems Stability analysis Function approximation Nonlinear systems time-delay systems exponentially stable Takagi–Sugeno (T–S) fuzzy approach Exponentially stable Time delay systems T-S fuzzy approach
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Control and Systems Engineering Computational Theory and Mathematics

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