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- W3021768156 abstract "For the stability analysis of a polynomial fuzzy system, a new polynomial membership function approach is proposed to reduce conservatism. In this article, based on a state-feedback closed-loop system, a polynomials fitting method is utilized, and an improved membership function transformation technique is proposed to approximate the membership functions of the fuzzy system. Then, the membership-function-dependent polynomial-based stability conditions are derived. The obtained polynomial membership functions and approximation errors will be involved in the stability analysis process. Based on the sum-of-squares optimization technique, polynomial conditions can be directly solved. Finally, by several numerical and practical examples, conservatism reduction effects are shown by comparisons with existing methods." @default.
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- W3021768156 date "2021-08-01" @default.
- W3021768156 modified "2023-10-15" @default.
- W3021768156 title "A Polynomial Membership Function Approach for Stability Analysis of Fuzzy Systems" @default.
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- W3021768156 doi "https://doi.org/10.1109/tfuzz.2020.2991149" @default.
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