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Quadratic-Stability Analysis of Fuzzy-Model-Based Control Systems Using Staircase Membership Functions

机译:基于楼梯隶属度函数的基于模糊模型的控制系统的二次稳定性分析

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This paper presents the stability analysis of fuzzy-model-based (FMB) control systems. Staircase membership functions are introduced to facilitate the stability analysis. Through the staircase membership functions approximating those of the fuzzy model and fuzzy controller, the information of the membership functions can be brought into the stability analysis. Based on the Lyapunov-stability theory, stability conditions in terms of linear-matrix inequalities (LMIs) are derived in a simple and easy-to-understand manner to guarantee the system stability. The proposed stability-analysis approach offers a nice property that includes the membership functions of both fuzzy model and fuzzy controller in the LMI-based stability conditions for a dedicated FMB control system. Furthermore, the proposed stability-analysis approach can be applied to the FMB control systems of which the membership functions of both fuzzy model and fuzzy controller are not necessarily the same. Greater design flexibility is allowed to choose the membership functions during the design of fuzzy controllers. By employing membership functions with simple structure, it is possible to lower the structural complexity and the implementation cost. Simulation examples are given to illustrate the merits of the proposed approach.
机译:本文提出了基于模糊模型的控制系统的稳定性分析。引入了楼梯隶属度函数以促进稳定性分析。通过近似于模糊模型和模糊控制器的阶梯隶属度函数,可以将隶属度函数的信息引入稳定性分析中。基于李雅普诺夫稳定性理论,以简单易懂的方式导出了基于线性矩阵不等式(LMI)的稳定条件,以保证系统的稳定性。所提出的稳定性分析方法提供了一个很好的特性,该特性包括专用FMB控制系统基于LMI的稳定性条件下的模糊模型和模糊控制器的隶属函数。此外,所提出的稳定性分析方法可以应用于FMB控制系统,该系统的模糊模型和模糊控制器的隶属函数不一定相同。在设计模糊控制器时,允许更大的设计灵活性来选择隶属函数。通过采用具有简单结构的隶属函数,可以降低结构复杂度和实现成本。仿真实例说明了该方法的优点。

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