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Stability analysis of discrete-time positive polynomial-fuzzy-model-based control systems through fuzzy co-positive Lyapunov function with bounded control

机译:带有模糊控制的Lyapunov函数的离散时间正多项式模糊模型控制系统的稳定性分析

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摘要

This study employs a novel fuzzy co-positive Lyapunov function to investigate the stability of discrete-time polynomial-fuzzy-model-based control systems under positivity constraint. The fuzzy co-positive Lyapunov function consists of a number of local sub-Lyapunov function candidates which includes the positivity property of a non-linear system and the contribution of each sub-Lyapunov function candidates depends on the corresponding membership functions. Imperfect premise matching design concept is used for the design of a closed-loop polynomial fuzzy controller based on the constructed polynomial fuzzy model. The bounded control signal conditions (upper and lower boundary demands on control signal) are included in the Lyapunov stability and positivity conditions, in which all are formulated in the form of sum-of-squares conditions. A numerical example is given to validate the proposed approach.
机译:这项研究采用了一种新颖的模糊协正Lyapunov函数来研究在正约束条件下基于离散时间多项式-模糊模型的控制系统的稳定性。模糊共正Lyapunov函数由多个局部子Lyapunov函数候选组成,这些候选子包含非线性系统的正性,并且每个子Lyapunov函数候选的贡献取决于相应的隶属函数。基于构建的多项式模糊模型,采用不完善的前提匹配设计思想设计闭环多项式模糊控制器。有界的控制信号条件(对控制信号的上下边界要求)包含在Lyapunov稳定性和正性条件中,其中所有条件均以平方和条件的形式表示。数值例子验证了该方法的有效性。

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