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Mode-Dependent Fuzzy Control for Positive Fuzzy Markov Jump Systems with Guaranteed L_1-gain Performance

机译:用于保证L_1增益性能的正模糊Markov跳转系统的模式依赖模糊控制

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Positive fuzzy Markov jump systems (FMJSs) can describe dynamic systems with positive, nonlinear and stochastic features. The peculiar positivity makes a difference in the stability analysis and controller synthesis in contrast to general fuzzy systems and Markov jump systems. For the positive FMJSs, the definitions of exponential mean stability and L_1-gain performance are firstly introduced, and some stability and performance conditions are established in the form of linear programming, respectively. In special cases, these conditions can reduce to be the corresponding results of positive fuzzy systems and positive Markov jump linear systems. Then a mode-dependent fuzzy controller is designed such that the closed-loop fuzzy system is positive, exponentially mean stable and has prescribed L_1-gain performance. Finally, the control design validity is confirmed by a numerical example.
机译:正模糊Markov Jump系统(FMJSS)可以描述具有积极,非线性和随机特征的动态系统。与一般模糊系统和马尔可夫跳跃系统相比,特殊阳性具有稳定性分析和控制器合成的差异。对于正的FMJSS,首先介绍了指数平均稳定性和L_1-增益性能的定义,分别以线性编程的形式建立了一些稳定性和性能条件。在特殊情况下,这些条件可以减少为正模糊系统和正马尔可夫跳跃线性系统的相应结果。然后设计了一种模式相关的模糊控制器,使得闭环模糊系统是正,指数均匀的稳定性,并规定了L_1-增益性能。最后,通过数值示例确认了控制设计有效性。

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