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Application of fuzzy H{sup}∞ control via T-S fuzzy models for nonlinear time-delay systems

机译:基于T-S模糊模型的模糊H {sup}∞控制在非线性时滞系统中的应用

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This paper deals with the problem of stability analysis and stabilization via Takagi-Sugeno (T-S) fuzzy models for nonlinear time-delay systems. First, Takagi-Sugeno (T-S) frizzy models and some stability results are recalled. To design fuzzy controllers, nonlinear time-delay systems are represented by Takagi-Sugeno frizzy models. The concept of parallel-distributed compensation (PDC) is employed to determine structures of frizzy controllers from the T-S frizzy models. LMI-based design problems are defined and employed to find feedback gains of frizzy controller and common positive definite matrices P satisfying stability a delay-dependent stability criterion derived in terms of Lyapunov direct method. Based on the control scheme and this criterion, a frizzy controller is then designed via the technique of PDC to stabilize the nonlinear time-delay system and the H{sup}∞ control performance is achieved in the mean time. Finally, the proposed controller design method is demonstrated through numerical simulations on the chaotic and resonant systems.
机译:本文针对非线性时滞系统,通过Takagi-Sugeno(T-S)模糊模型来解决稳定性分析和稳定性问题。首先,回想起Takagi-Sugeno(T-S)的卷曲模型和一些稳定性结果。为了设计模糊控制器,以Takagi-Sugeno毛躁模型为代表的非线性时滞系统。并行分布补偿(PDC)的概念用于根据T-S毛躁模型确定毛躁控制器的结构。定义了基于LMI的设计问题,并将其用于寻找满足稳定性的卷毛控制器和常见正定矩阵P的反馈增益,这是根据Lyapunov直接方法导出的依赖于延迟的稳定性准则。基于控制方案和该准则,通过PDC技术设计了一种毛躁控制器,以稳定非线性时滞系统,并同时实现了H {sup}∞控制性能。最后,通过对混沌和共振系统的数值模拟,证明了所提出的控制器设计方法。

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