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Robust Fuzzy Control for Uncertain Nonlinear Systems with Regional Pole and Variance Constraints

机译:具有区域极点和方差约束的不确定非线性系统的鲁棒模糊控制

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For a class of uncertain nonlinear systems, a design method of robust fuzzy control systems with the state estimators is developed in this paper. This design method guarantees each local closed-loop systems poles within a specified disc and steady-state variances to be less than a set of given upper bounds. T-S fuzzy models with uncertainties are used as the model for the uncertain nonlinear systems. A sufficient condition for the existence of such robust fuzzy controllers is derived using the linear matrix inequality approach. Based on this, solving procedures for the feedback gains and the estimator gains are given.
机译:针对一类不确定的非线性系统,提出了一种带有状态估计器的鲁棒模糊控制系统的设计方法。这种设计方法保证了指定圆盘内的每个局部闭环系统极点和稳态方差均小于一组给定的上限。具有不确定性的T-S模糊模型被用作不确定非线性系统的模型。使用线性矩阵不等式方法可以得出存在此类鲁棒模糊控制器的充分条件。基于此,给出了反馈增益和估计器增益的求解过程。

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