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Stabilization of T-S fuzzy systems using LTV system theory

机译:基于LTV系统理论的T-S模糊系统的镇定。

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Takagi-Sugeno (T-S) fuzzy systems are equivalent to linear time-varying (LTV) systems, the theory of LTV systems can therefore be used to design global feedback controllers to stabilize T-S fuzzy systems. It is seen that the closed-loop T-S fuzzy system is first transformed into the canonical form by using a Lyapunov transform, a global feedback controller is then designed to assign all Parallel D-spectrum eigenvalues (PD-eigenvalues) of the closed-loop T-S fuzzy system to the desired locations whose real parts have negative extended means. The proposed control scheme not only guarantees asymptotic stability of the closed-loop T-S fuzzy systems, but also allows the designers to directly design a simple global controller instead of deriving a complex global controller by aggregating all local controllers using fuzzy membership functions. A simulation example is given in support of the proposed scheme.
机译:Takagi-Sugeno(T-S)模糊系统等效于线性时变(LTV)系统,因此LTV系统的理论可用于设计全局反馈控制器来稳定T-S模糊系统。可以看出,首先通过使用Lyapunov变换将闭环TS模糊系统转换为规范形式,然后设计了全局反馈控制器,以分配闭环TS的所有并行D谱特征值(PD-特征值)模糊系统到其真实部分具有负扩展均值的期望位置。所提出的控制方案不仅保证了闭环T-S模糊系统的渐近稳定性,而且允许设计人员直接设计一个简单的全局控制器,而不是通过使用模糊隶属函数聚合所有本地控制器来推导一个复杂的全局控制器。给出了仿真实例以支持所提出的方案。

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