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Robust fuzzy observer-based fuzzy control design for nonlinear systems with persistent bounded disturbances: A novel decoupled approach

机译:具有持续有限扰动的非线性系统的基于模糊观测器的鲁棒模糊控制设计:一种新颖的解耦方法

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摘要

Unlike the L_2-gain (H_∞) control case, the L_∞-gain control problem is dealing with persistent bounded disturbances. This study introduces L_∞-gain fuzzy observer-based fuzzy control design, where the premise variables depend on the state variables estimated by a fuzzy observer, for nonlinear systems via T-S fuzzy models. The fuzzy control design for this case is more flexible but much more complex than that for the case where the premise variables do not depend on the state variables estimated by a fuzzy observer. A novel decoupled method is proposed in this study to transform the non-LMI conditions into some LMI forms. By the proposed decoupled method and the genetic algorithm, the L_∞-gain fuzzy observer-based fuzzy control problem can be easily solved by an LMI-based method.
机译:与L_2增益(H_∞)控制情况不同,L_∞增益控制问题处理的是持久有界干扰。这项研究介绍了基于L_∞增益的基于模糊观测器的模糊控制设计,其中前提变量取决于由模糊观测器估计的状态变量,用于基于T-S模糊模型的非线性系统。与前提变量不依赖于模糊观察者估计的状态变量的情况相比,这种情况下的模糊控制设计更为灵活,但更为复杂。在这项研究中提出了一种新颖的解耦方法,将非LMI条件转化为某些LMI形式。通过提出的解耦方法和遗传算法,基于LMI的方法可以轻松解决基于L_∞增益的模糊观测器的模糊控制问题。

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