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Stability analysis and H/sub /spl infin// controller design of fuzzy large-scale systems based on piecewise Lyapunov functions

机译:基于分段Lyapunov函数的模糊大系统稳定性分析和H / sub / spl infin //控制器设计

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This paper presents a novel approach to stability analysis of a fuzzy large-scale system in which the system is composed of a number of Takagi-Sugeno (T-S) fuzzy subsystems with interconnections. The stability analysis is based on Lyapunov functions that are continuous and piecewise quadratic. It is shown that the stability of the fuzzy large-scale systems can be established if a piecewise Lyapunov function can be constructed, and, moreover, the function can be obtained by solving a set of linear matrix inequalities (LMIs) that are numerically feasible. It is also demonstrated via a numerical example that the stability result based on the piecewise quadratic Lyapunov functions is less conservative than that based on the common quadratic Lyapunov functions. The H/sub /spl infin// controllers can also be designed by solving a set of LMIs based on these powerful piecewise quadratic Lyapunov functions.
机译:本文提出了一种新的模糊大型系统稳定性分析方法,其中该系统由多个具有互连的Takagi-Sugeno(T-S)模糊子系统组成。稳定性分析基于连续且分段二次的Lyapunov函数。结果表明,如果可以构建分段的Lyapunov函数,则可以建立模糊大规模系统的稳定性,此外,可以通过求解一组数值上可行的线性矩阵不等式(LMI)来获得该函数。通过数值例子也表明,基于分段二次Lyapunov函数的稳定性结果不如基于普通二次Lyapunov函数的稳定性结果保守。还可以通过基于这些强大的分段二次Lyapunov函数求解一组LMI来设计H / sub / spl infin //控制器。

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