具有部分可达转换率的互联半马尔可夫跳跃系统的分散控制:一种动态记忆事件触发机制

Yushun Tan, Xiaoming Cheng, Xinrui Li, Jie Bai, Jinliang Li
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引用次数: 0

摘要

研究了具有部分可达转移率的互联半马尔可夫系统的分散控制问题。首先,设计了具有记忆事件触发机制的动态系统模型,该模型利用历史触发数据有效地提高了事件触发机制的容错性;然后,考虑转移概率完全未知和部分已知的半马尔可夫参数,构造了具有动态METM的状态反馈控制模型。利用李雅普诺夫函数和适当的模型变换方法,可以得到保证互联半马尔可夫系统随机稳定的一些充分条件。同时,利用线性矩阵不等式(lmi)同时求解了动态METM的参数和控制器增益矩阵。最后,通过仿真算例验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decentralized control for interconnected semi-markovian jump systems with partially accessible transition rates: a dynamic memory event-triggered mechanism
This paper investigates the issue of decentralized control for interconnected semi-Markovian systems with partially accessible transition rates (TRs). Firstly, a dynamic system model with a memory event-triggered mechanism (METM) is designed, which can effectively improve the fault tolerance of the event-triggering mechanism by employing the historical trigger data. Then a state feedback control model with dynamic METM is constructed, in which the semi-Markovian parameters with completely unknown and partially known transition probabilities are considered. Some sufficient conditions that insure the stochastic stability of the interconnected semi-Markovian systems can be obtained by utilizing the Lyapunov function and suitable model transformations method. Meanwhile, the parameters and the controller gain matrices of dynamic METM are also solved simultaneously by applying the linear matrix inequalities (LMIs). Finally, a simulation example is given to verify the effectiveness of the proposed method.
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