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Stochastic finite-time boundedness on switching dynamics Markovian jump linear systems with saturated and stochastic nonlinearities

机译:具有饱和和随机非线性的切换动力学马尔可夫跳跃线性系统的随机有限时间有界性

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摘要

In this paper, problems of finite-time boundedness are investigated for a class of discrete-time switching dynamics Markovian jump linear systems with saturated and stochastic nonlinearities. The time-varying transition probabilities are described by a piecewise-constant matrix subject to a high-level average dwell time (ADT) switching. Sensor and actuator saturations are characterized by a vector-valued decomposition method and the stochastic nonlinearities are approximated by a statistical method. In general, not all trajectories originating from the admissible initial states could be stabilized in the mean square sense or sufficient conditions are too restrictive to yield feasible solutions. Therefore, the purpose of studying the problems addressed here is to design an output feedback controller via the ADT approach such that the resulting closed-loop systems are stochastically finite-time bounded and have a guaranteed disturbance attenuation capability. Simulation results demonstrate the potential and effectiveness of the theoretical results. (C) 2015 Elsevier Inc. All rights reserved.
机译:本文研究了一类具有饱和和随机非线性的离散时间切换动力学马尔可夫跳跃线性系统的有限时间有界性问题。时变过渡概率由分段常数矩阵描述,该矩阵受高级平均停留时间(ADT)转换的影响。传感器和执行器的饱和度通过矢量值分解方法来表征,随机非线性通过统计方法来近似。通常,并非所有源自允许初始状态的轨迹都可以在均方意义上稳定,或者足够的条件过于局限而无法产生可行的解决方案。因此,研究此处解决的问题的目的是通过ADT方法设计输出反馈控制器,以使所得的闭环系统受到随机时限限制,并具有保证的干扰衰减能力。仿真结果证明了理论结果的潜力和有效性。 (C)2015 Elsevier Inc.保留所有权利。

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