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H stabilization of fuzzy model based generalized Lorenz chaotic systems

机译:基于广义洛伦兹混沌系统的模糊模型的H 镇定

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In this study, the conditions of fuzzy model based H stabilization are presented to stabilize the generalized Lorenz chaotic systems in finite time T and with pre-specified exponential convergence rate. Let the fuzzy state feedback controller be the form of parallel distributed compensation (PDC) and be designed to achieve the finite-time stability for the closed-loop system. The concept of Lyapunov theory, finite-time stability, H control and LMI-based approach are employed to derive the main result. Finally, the simulation results have been shown the validity of the proposed method.
机译:在本研究中,提出了基于H 镇定的模糊模型的条件,以在有限的时间T内以预定的指数收敛速度稳定广义的Lorenz混沌系统。让模糊状态反馈控制器为并行分布补偿(PDC)的形式,并设计为实现闭环系统的有限时间稳定性。运用李雅普诺夫理论的概念,有限时间稳定性,H 控制和基于LMI的方法得出主要结果。最后,仿真结果表明了该方法的有效性。

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