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International Journal of Fuzzy Systems EISCIEScopus

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篇名 Sum-of-Squares Stability Analysis of Takagi-Sugeno Systems Based on Multiple Polynomial Lyapunov Functions
卷期 15:1
作者 Kevin GueltonNoureddine ManamanniChinh-Cuong DuongDarius L. Koumba-Emianiwe
頁次 001-008
關鍵字 Polynomial Takagi-Sugeno systemsMultiple polynomial Lyapunov functionSum of squaresRelaxed stability conditionsEISCISCIEScopus
出刊日期 201303

中文摘要

英文摘要

In this paper, another step on relaxation for Takagi- Sugeno systems’ stability analysis is addressed. Inspired from non-quadratic Lyapunov functions (NQLF), regarding to quadratic ones, a multiple polynomial Lyapunov function (MPLF) is proposed as an extension to polynomial Lyapunov function approaches. Following the latter post-LMI challenge, the obtained stability conditions are written in terms of a sum-of-squares (SOS) optimization problem. The proposed MPLF includes the well-studied NQLF ones as a special case. Moreover, the proposed SOS based stability conditions don’t require unknownparameters in advance, as well as guarantee, when a
solution exists, global stability. Therefore, these drawbacks of classical LMI based non-quadratic approaches are overcame.

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