4.7 Article

Improvements on stability conditions and control design of Takagi-Sugeno fuzzy descriptor systems

Journal

ISA TRANSACTIONS
Volume 121, Issue -, Pages 21-29

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2021.03.037

Keywords

Takagi-Sugeno (T-S) fuzzy descriptor system; Fuzzy Lyapunov function; Parallel distributed compensation (PDC); Linear matrix inequality (LMI)

Funding

  1. National Natural Science Foundation of China [U1813216, 62003186]
  2. Natural Science Foundation of Guangdong, China [2020A1515010334, 2021A1515012628]

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This paper presents several methods to improve the stabilization conditions of Takagi-Sugeno fuzzy descriptor systems (TSFDS). Firstly, by introducing a modified non-quadratic fuzzy Lyapunov function and a PDC controller, the stabilization problems of TSFDS are reformulated as checking negativity of triple fuzzy summations, allowing the relaxed methods of T-S fuzzy systems to be directly applied to descriptor systems. Secondly, a non-quadratic fuzzy Lyapunov function is designed that combines membership functions of derivative matrices and state matrices, and both sufficient and asymptotically necessary conditions for TSFDS are presented using a non-PDC controller based on Polya's theorem. All conditions are formulated as LMIs, and simulation examples demonstrate the improvements and effectiveness of these methods.
Several methods to improve stabilization conditions of Takagi-Sugeno fuzzy descriptor systems (TSFDS) are presented. First, we prove that with a modified non-quadratic fuzzy Lyapunov function and a PDC controller, stabilization problems of TSFDS are reformulated as checking negativity of triple fuzzy summations, and then relaxed methods of T-S fuzzy systems can be directly applied to descriptor systems. In the sequel, two relaxed methods are extended to TSFDS based on slack decision variables and Polya's Theorem, respectively, but these conditions are only sufficient. Second, we design a non-quadratic fuzzy Lyapunov function which simultaneously consists of membership functions of derivative matrices and state matrices, and it generalizes previous related Lyapunov functions. Then with a non-PDC controller, not only sufficient but asymptotically necessary conditions for TSFDS are presented based on Polya's theorem. All conditions are cast into LMIs, and simulation examples illustrate improvements and effectiveness of these methods. (C) 2021 ISA. Published by Elsevier Ltd. All rights reserved.

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