Stability analysis and controller synthesis for fuzzy descriptor systems

Chih-Peng Huang

International Journal of Systems Science, 2013, vol. 44, issue 1, 23-33

Abstract: This article primarily investigates the stability and controller design of fuzzy descriptor systems. The standard Takagi–Sugeno (T–S) fuzzy model is generalised into a descriptor T–S fuzzy model with the distinct derivative matrices in each rule, which can be used to represent a larger class of nonlinear systems. Based on a derived equivalent stability condition for the nominal descriptor system, the stability of unforced fuzzy descriptor systems with blending different derivative matrices can be treated. Furthermore, parallel distributed compensation (PDC) and a fuzzy proportional and derivative state feedback (PDSF) controller are proposed for stabilising the resulting closed-loop fuzzy descriptor systems. Significantly, all the presented criteria are formulated in terms of linear matrix inequalities (LMIs), so the stability analysis or a stabilising fuzzy controller can be readily achieved via current LMI solvers. Given numerical examples, we demonstrate the effectiveness and merit of the proposed approach.

Date: 2013
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DOI: 10.1080/00207721.2011.577248

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