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Control Synthesis for Fuzzy Systems with Local Nonlinear Models Subject to Actuator Saturation

NGUYEN, Anh-Tu; COUTINHO, Pedro Henrique Silva; GUERRA, Thierry Marie; PALHARES, Reinaldo Martinez

2019 • FUZZ-IEEE 2019 • 2 citações

Resumo

Resumo

This paper presents a new method to design non-parallel distributed compensation (non-PDC) laws for Takagi- Sugeno fuzzy systems with local nonlinear models subject to actuator saturation. Based on specific congruence transformations, the local stabilization conditions are derived using Lyapunov stability theorem. The local design framework is established through an effective treatment of the sector-bound conditions for the input-saturation phenomenon and the nonlinearities in the consequents of the fuzzy systems. Using a non-quadratic Lyapunov function candidate, the control design is reformulated as an LMI-based optimization problem with a line search over a parameter, which can be effectively solved with convex optimization techniques. In particular, we theoretically prove that the new control method is less conservative compared to that derived from a standard non-PDC controller. Illustrative examples are provided to point out the interests of the proposed control method.

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palavras-chave

Palavras-chave

Takagi-Sugeno fuzzy systemsactuator saturationnon-parallel distributed compensationnon-quadratic Lyapunov functionslinear matrix inequality optimizationfuzzy controller design

Status

Published

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