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Further relaxed stability conditions for continuous-time polynomial fuzzy system based on polynomial fuzzy Lyapunov function

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3 Author(s)
Han Sol Kim ; Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea ; Jin Bae Park ; Young Hoon Joo

This paper concerns a new stability condition for polynomial fuzzy system by introducing polynomial fuzzy Lyapunov function and slack matrix. Stability condition for polynomial fuzzy system is usually derived by common quadratic polynomial Lyapunov function. However this method results the conservative problem. To relax the conservative result, various relaxing methods which are introduced in T-S fuzzy system case are converted to polynomial fuzzy system. With this line, this paper adapts fuzzy Lyapunov function and extends it to polynomial fuzzy Lyapunov function. It is the extended version of existing fuzzy Lyapunov function which is replaced constant matrices with polynomial one. Furthermore, by adding the slack matrix to the proposed stability condition, this condition is further relaxed. Finally, these results will be proved by numerical example.

Published in:

Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on

Date of Conference:

10-15 June 2012