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:2019,28(3):242-249
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离散多智能体系统中分布式事件触发的H滤波
(浙江理工大学 机械与自动控制学院, 杭州 310018)
Distributed Event-Triggered H Filtering in Discrete Multi-Agent Systems
(Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China)
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投稿时间:2018-09-04    修订日期:2018-09-26
中文摘要: 研究了具有切换拓扑的离散时间多智能体系统的事件触发H滤波问题.构造了一种新的分布式事件触发控制方案,以确定是否每个智能体应该传输当前采样数据到滤波器,从而有效的节约网络资源.考虑到网络诱导时延的存在,同时利用马尔可夫过程对网络拓扑的切换进行建模,采用事件触发控制方案并结合所提的H滤波器,将分布式滤波误差系统建模成一个具有多时变时延的闭环系统.利用包含多区间上下界信息的Lyapunov-Krasovskii泛函和线性矩阵不等式方法,得到了保证闭环系统实现具有H性能指标渐近稳定性的一些充分条件和H滤波器参数的设计方法.最后,通过两个数值算例说明了该方法的有效性.
Abstract:This study investigates event-triggered H filtering problem for discrete-time multi-agent systems with switching topologies. A novel distributed event-triggered control scheme is constructed to determine whether each agent should transmit the current sampled data to the filter, thus effectively save network resources. Considering the existence of network-induced delay and modeling the switching of network topologies by a Markov process, the distributed filtering error system is modeled as a closed-loop system with multiple time-varying delays by using the event-triggered control scheme and the proposed H filter. By employing Lyapunov-Krasovskii functional and linear matrix inequality method with multi-interval upper and lower bounds information, some sufficient conditions and the design method of H filter parameters are obtained to guarantee the closed-loop system to achieve asymptotic stability with an H performance index. Finally, two numerical examples are given to illustrate the effectiveness of the proposed method.
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基金项目:国家自然科学基金(61374083)
引用文本:
李嘉豪,高金凤.离散多智能体系统中分布式事件触发的H滤波.计算机系统应用,2019,28(3):242-249
LI Jia-Hao,GAO Jin-Feng.Distributed Event-Triggered H Filtering in Discrete Multi-Agent Systems.COMPUTER SYSTEMS APPLICATIONS,2019,28(3):242-249

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