4.7 Article

Sufficient conditions in terms of linear matrix inequalities for guaranteed ultimately boundedness of solutions of switched Takagi-Sugeno fuzzy systems using the S-procedure

Journal

INFORMATION SCIENCES
Volume 572, Issue -, Pages 501-521

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2021.04.103

Keywords

Switched TS fuzzy system; ultimate boundedness conditions; less conservative conditions; LMIs

Funding

  1. Brazilian National Research Council (CNPq) [308067/2017-7, 305892/20177]
  2. SAo Paulo Research Foundation (FAPESP) [2014/508510]

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This paper presents sufficient conditions for the existence of a switching law that makes the solutions of switched Takagi-Sugeno fuzzy systems ultimately bounded using linear matrix inequalities (LMIs). The results show that the derivatives of the scalar function can assume positive values in a bounded set, and the LMIs do not require the calculation of the derivative of the membership functions, which makes them applicable to systems with many rules.
In this paper, sufficient conditions to ensure the existence of a switching law that makes the solutions of switched Takagi-Sugeno (TS) fuzzy systems ultimately bounded are devel-oped by means of linear matrix inequalities (LMIs). These LMIs are based on the existence of a scalar function, which plays a role similar to Lyapunov energy functions for an auxil-iary system formed by a convex combination of all subsystems of the switched system. A feature of the developed results is that the derivatives of the scalar function can assume positive values in a bounded set described as level sets. The LMIs explore the S-procedure to obtain low levels of conservativeness and do not require the calculation of the derivative of the membership functions, which facilitates their application to switched TS fuzzy systems with many rules. Exploring the proposed conditions, we estimated the attractor and basin of attraction of some examples of switched TS fuzzy systems under a measurable switching law. These numerical examples showed the effectiveness of the pro-posed approach in maximizing the estimation of the bounded attraction domain. (c) 2021 Elsevier Inc. All rights reserved.

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