NDLI: Robust Adaptive Fuzzy Control for a Class of MIMO Nonlinear Systems with Unknown Dead-Zones and Gain Signs

Content Provider	IEEE Xplore Digital Library
Author	Tian-Ping Zhang Yan Sun Hou-Bin Qian Qin Wang
Copyright Year	2006
Description	Author affiliation: Dept. of Comput., Yangzhou Univ. (Tian-Ping Zhang)
Abstract	In this paper, adaptive fuzzy control is proposed for a class of uncertain MIMO nonlinear systems with unknown dead-zones and a triangular control structure. The design is based on the principle of sliding mode control and the property of Nussbaum function. The approach does not require a priori knowledge of the sign of the control gain and the upper bound and lower bound of dead zone model parameter to be known a priori. The adaptive compensation for the optimal approximation error is employed to minimize the influence of modeling errors and parameter estimation errors. By theoretical analysis, the closed-loop control system is proved to be stable in the sense that all signals involved are bounded, with tracking errors converging to zero. Simulation results demonstrate the effectiveness of the approach
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	483
Ending Page	488
File Size	240850
Page Count	6
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258321
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robust control Programmable control Adaptive control Fuzzy control MIMO Nonlinear systems Sliding mode control Control systems Nonlinear control systems Upper bound Nussbaum function Dead-zone
Content Type	Text
Resource Type	Article

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