无连续通信的多智能体系统的基于输出反馈的事件触发控制

Chung-Shan Shih, Teng-Hu Cheng
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引用次数: 1

摘要

针对领导-追随者共识问题,提出了一种基于输出反馈的分散控制器,该控制器使用事件触发通信。设计一个观测器来估计每个智能体的状态,并将估计的状态传递给相邻的智能体进行交互。为了消除连续的智能体间通信,设计了另一个估计相邻智能体状态的估计器,用于控制反馈,并通过间歇通信更新以重置不断增加的估计误差。通信时间基于事件触发策略,并根据控制性能和减少的通信量之间的相互作用进行调整。所开发的触发方法的主要贡献是,不需要代理间通信来确定何时需要状态更新。由于所开发的控制方案引入了切换动力学,因此进行了分析,表明不存在芝诺行为。收敛性分析也证明了所开发的控制方法的有界收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Output-Feedback-Based Event-Triggered Control of Multi-Agent Systems Without Continuous Inter-Agent Communication
An output-feedback-based decentralized controller that uses event-triggered communication is developed for the leader-follower consensus problem. An observer is designed to estimate the state of each agent, and the estimated state is communicated to its neighboring agents for interaction. To eliminate continuous inter-agent communication, another estimators that estimate the states of neighboring agents are designed for control feedback and are updated via intermittent communication to reset increasing estimate errors. The communication times are based on an event-triggered strategy and are adapted based on the interplay between the control performance and the amount of reduced communication. The main contribution of the developed triggering approach is that inter-agent communication is not required to determine when a state update is needed. Since the developed control scheme introduces switched dynamics, analysis is conducted to indicate that Zeno behavior does not exist. A convergence analysis is also conducted to show bounded convergence of the developed control methodology.
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