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Robust Stabilization for a Class of Nonlinear Systems: Fuzzy-Model-Based LMI Approach

机译:一类非线性系统的鲁棒镇定:基于模糊模型的LMI方法

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In this paper,we investigate the robust stabilization problem for a class of nonlinear dynamic systems via fuzzymodel-based state feedback control.First,the Takagi-Sugeno (T-S) fuzzy model is employed to approximate a nonlinear dynamic system.A robust stabilization technique is proposed to override the effect of approximation error in the fuzzy approximation procedure.Next,some sufficient conditions are derived to ensure the robust stabilization of the closed-loop system with fuzzytype state feedback based controller and guarantee the disturbance attenuation under a desired level.Moreover,these stabilization conditions can be formulated in terms of linear matrix inequalities (LMIs),which can be solved using the convex optimization techniques.Finally,a numerical example is given to demonstrate the effectiveness of the proposed approach.
机译:本文通过基于模糊模型的状态反馈控制研究一类非线性动力系统的鲁棒镇定问题。首先,采用Takagi-Sugeno(TS)模糊模型对非线性动力系统进行逼近。提出了一些充分的条件,以确保基于模糊类型状态反馈的控制器对闭环系统的鲁棒稳定,并保证干扰衰减在所需水平上。这些稳定条件可以用线性矩阵不等式(LMI)来表示,可以使用凸优化技术来求解。最后,通过数值算例证明了该方法的有效性。

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