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Decentralized consensus for linear multi-agent systems under general directed graphs based on event-triggered/self-triggered strategy

机译:基于事件触发/自触发策略的有向图下线性多主体系统的分散共识

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In this paper, we study the event-triggered consensus problem for multi-agent systems with general linear dynamics under a general directed graph. We propose a decentralized event-triggered consensus controller (ETCC) for each agent to achieve consensus, without requiring continuous communication among agents. Each agent only needs to monitor its own state continuously to determine when to trigger an event and broadcast its state to its out-neighbors. The agent updates its controller when it broadcasts its state to its out-neighbors or receives new information from its in-neighbors. The ETCC can be implemented in multiple steps. We prove that under the proposed ETCC there is no Zeno behavior exhibited. To relax the requirement of continuous monitoring of each agent's own state, we further propose a self-triggered consensus controller (STCC). Simulation results are given to illustrate the theoretical analysis and show the advantages of the event-triggered and self-triggered controllers in this paper.
机译:在本文中,我们研究了在通用有向图下具有通用线性动力学的多智能体系统的事件触发共识问题。我们为每个代理人提出了一个分散的事件触发共识控制器(ETCC),以达成共识,而无需代理人之间的持续沟通。每个代理仅需要连续监视其自身状态即可确定何时触发事件并将其状态广播到其邻居。当代理向其邻居广播其状态或从其邻居接收新信息时,代理会更新其控制器。 ETCC可以分多个步骤实施。我们证明,在拟议的ETCC下,没有表现出Zeno行为。为了放宽对每个代理自身状态进行连续监视的要求,我们进一步提出了一种自触发共识控制器(STCC)。仿真结果证明了理论分析的正确性,并说明了事件触发和自触发控制器的优点。

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