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Finite-time control for periodic systems with Markov jump sensor nonlinearities and random input gains

机译:具有马尔可夫跳跃传感器非线性和随机输入增益的周期系统的有限时间控制

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摘要

Finite-time control for periodic systems with sensor nonlinearities and random input gains is addressed in this work. The variation of sensor nonlinearities is modeled by a Markov chain, and a stochastic variable is used to describe the influence of the actuator. A mode- and sensor nonlinearity-dependent non-fragile controller is designed to improve the performance and the non-fragility of the controller. The finite-time boundedness of the closed-loop system is ensured by a sufficient condition, the corresponding controller is then designed. Finally, the effectiveness of the developed results is illustrated by a numerical example. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:这项工作解决了具有传感器非线性和随机输入增益的周期系统的有限时间控制。传感器非线性的变化通过马尔可夫链建模,并且随机变量用于描述执行器的影响。设计与模式和传感器非线性相关的非脆弱控制器,以提高控制器的性能和非脆弱性。通过充分条件确保闭环系统的有限时间有界,然后设计相应的控制器。最后,通过数值例子说明了所开发结果的有效性。 (C)2018富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2018年第10期|4097-4110|共14页
  • 作者单位

    Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China;

    Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China;

    Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China;

    Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China;

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  • 入库时间 2022-08-18 02:57:39

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