NDLI: Parallel Distributed Fuzzy Sliding Mode Control for Nonlinear Mismatched Uncertain Systems

Content Provider	Springer Nature Link
Author	Tao, C. W. Taur, J. S.
Copyright Year	2006
Abstract	A new design approach of a parallel distributed fuzzy sliding mode controller for nonlinear systems with mismatched time varying uncertainties is presented in this paper. The nonlinear system is approximated by the Takagi–Sugeno fuzzy linear model. The approximation error between the nonlinear system and the fuzzy linear model is considered as one part of the uncertainty in the uncertain nonlinear system. The time varying uncertainties are assumed to have the format which enables the design of the coefficient matrix of the sliding function to satisfy a sliding coefficient matching condition. With the sliding coefficient matching condition satisfied, a parallel distributed fuzzy sliding mode controller (PDFSC) is designed. The stability and the sliding mode of the fuzzy sliding control system are guaranteed. Also, the nonlinear system is shown to be invariant on the sliding surface. Moreover, the chattering around the sliding surface in the sliding mode control can be reduced by the proposed design approach. Simulation results are included to illustrate the effectiveness of the proposed fuzzy sliding mode controller.
Starting Page	607
Ending Page	616
Page Count	10
File Format	PDF
ISSN	14327643
Journal	Soft Computing
Volume Number	11
Issue Number	7
e-ISSN	14337479
Language	English
Publisher	Springer-Verlag
Publisher Date	2006-06-13
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Control Engineering Mathematical Logic and Foundations Computing Methodologies Theory of Computation Numerical and Computational Methods in Engineering
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Software Geometry and Topology

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