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Neural Computing and Applications
Published in: Neural Computing and Applications 10/2019

28-03-2018 | Original Article

A novel robust \(H_{\infty }\) fuzzy state feedback plus state-derivative feedback controller design for nonlinear time-varying delay systems

Authors: S. Ruangsang, W. Assawinchaichote

Published in: Neural Computing and Applications | Issue 10/2019

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Abstract

This paper investigates the problem of designing a robust \(H_{\infty }\) state feedback plus state-derivative feedback control mechanism for a class of uncertain nonlinear time-varying delay systems described by a Takagi–Sugeno fuzzy model. A linear matrix inequality approach is applied to derive a robust controller for such a system. The proposed controller satisfies design requirements that ensure that the closed-loop system is asymptotically stable and meets pre-prescribed \(H_{\infty }\) performance index values. Finally, the illustrative examples are simulated to illustrate the effectiveness of the proposed methodology.
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Appendix
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Metadata
Title
A novel robust fuzzy state feedback plus state-derivative feedback controller design for nonlinear time-varying delay systems
Authors
S. Ruangsang
W. Assawinchaichote
Publication date
28-03-2018
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 10/2019
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-018-3452-y

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