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Relaxed stability issues for T-S fuzzy system: Based on a fuzzy quadratic Lyapunov function

机译:T-S模糊系统的松弛稳定性问题:基于模糊二次Lyapunov函数

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Based on a fuzzy quadratic Lyapunov function (FQLF), this paper mainly addresses the stability issues of the T-S fuzzy model. Differentiating from existing results with common quadratic Lyapunov functions (CQLF) and leading to stability criteria restricted to finding a common matrix P, this work is based on the FQLF with multiple Pi and expects to attain some less conservative results. Furthermore, the proposed stability criteria will be directly formulated in terms of strict linear matrix inequalities (LMIs), and they thus can readily be evaluated via current LMI solvers. Numerical examples are given to demonstrate the efficiency and the feasibility of the proposed approach.
机译:基于模糊二次李雅普诺夫函数(FQLF),本文主要解决了T-S模糊模型的稳定性问题。与具有常见二次Lyapunov函数(CQLF)的现有结果有所不同,并导致仅限于找到共同矩阵P的稳定性标准,这项工作基于具有多个Pi的FQLF,并希望获得一些较不保守的结果。此外,建议的稳定性标准将根据严格的线性矩阵不等式(LMI)直接制定,因此可以轻松地通过当前的LMI求解器进行评估。数值算例表明了该方法的有效性和可行性。

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