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Robust Stabilization of Uncertain Fuzzy Systems Using Variable Structure System Approach

机译:不确定模糊系统的变结构系统鲁棒镇定

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Based on the variable structure system (VSS) theory, we develop a fuzzy control system design method for a class of uncertain nonlinear multivariable systems that can be represented by a Takagi–Sugeno fuzzy model. We make the first attempt to relax the restrictive assumption that each nominal local system model shares the same input channel, which is required in the traditional VSS-based fuzzy control design methods. As the local controller we use a sliding mode controller with a switching feedback control term. In terms of linear matrix inequalities (LMIs), we derive a sufficient condition for the existence of linear sliding surfaces guaranteeing asymptotic stability of the reduced-order equivalent sliding mode dynamics. We present an LMI characterization of such sliding surfaces. We also give an LMI-based algorithm to design the switching feedback control term so that a stable sliding motion is induced in finite time. Finally, we give a numerical design example.
机译:基于可变结构系统(VSS)理论,我们为一类不确定的非线性多变量系统开发了一种模糊控制系统设计方法,该系统可以用Takagi–Sugeno模糊模型表示。我们首先尝试放松限制性假设,即每个名义本地系统模型共享相同的输入通道,这是传统的基于VSS的模糊控制设计方法所必需的。作为本地控制器,我们使用带有开关反馈控制项的滑模控制器。根据线性矩阵不等式(LMI),我们得出了线性滑动表面存在的充分条件,从而保证了降阶等效滑动模式动力学的渐近稳定性。我们提出了这种滑动表面的LMI表征。我们还给出了一种基于LMI的算法来设计开关反馈控制项,以便在有限的时间内产生稳定的滑动运动。最后,我们给出一个数值设计示例。

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