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Stochastic sampled-data H-infinity synchronization of coupled neutral-type delay partial differential systems

机译:耦合中立型时滞偏微分系统的随机采样数据H-无穷大同步

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This paper discusses the asymptotical synchronization and H-infinity synchronization of coupled neutral-type delay partial differential systems (NDPDSs). A sampled-data controller with m stochastically varying sampling periods whose occurrence probabilities are given constants is considered. By using the method of a nonsingular matrix transformation, we decouple the coupled error dynamical systems. Then, sufficient conditions that guarantee the asymptotic stability of decoupled synchronization error dynamical systems are derived in terms of linear matrix inequalities (LMIs) by constructing a suitable Lyapunov-Krasovskii functional with triple integral terms and by using Jensen's inequality and reciprocally convex combination technique, which implies the asymptotical synchronization of the coupled NDPDSs. Moreover, the stability criteria for the H-infinity stabilization of decoupled synchronization error dynamical systems with external disturbances are also derived in terms of LMIs, which guarantee the H-infinity synchronization of the coupled NDPDSs. The equivalence between the Ho. stability of decoupled synchronization error dynamical systems and the H-infinity synchronization of coupled NDPDSs is also proved by mathematical analysis. Finally, numerical examples are provided to demonstrate the effectiveness of the obtained results. (C) 2015 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:本文讨论了耦合中立型时滞偏微分系统(NDPDS)的渐近同步和H无限同步。考虑具有m个随机变化的采样周期的采样数据控制器,其出现概率被给定为常数。通过使用非奇异矩阵变换的方法,我们将耦合误差动力学系统解耦。然后,通过构造具有三重积分项的合适的Lyapunov-Krasovskii泛函,并使用Jensen不等式和往复凸组合技术,从线性矩阵不等式(LMI)推导了保证解耦的同步误差动态系统的渐近稳定性的充分条件。意味着耦合的NDPDS的渐近同步。此外,还根据LMI推导了具有外部干扰的解耦同步误差动力系统的H无限稳定的稳定性标准,这保证了耦合NDPDS的H无限同步。之间的等值。通过数学分析也证明了解耦同步误差动力学系统的稳定性和耦合的NDPDS的H-无限同步。最后,提供了数值示例来证明所获得结果的有效性。 (C)2015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》 |2015年第10期|4480-4502|共23页
  • 作者单位

    Bharathiar Univ, Dept Math, Coimbatore 641046, Tamil Nadu, India.;

    Bharathiar Univ, Dept Math, Coimbatore 641046, Tamil Nadu, India.;

    Nanjing Normal Univ, Inst Finance & Stat, Nanjing 210023, Jiangsu, Peoples R China.;

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  • 入库时间 2022-08-18 02:57:48

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