Cooperative Control of Multiagent Systems: A Quantization Feedback-Based Event-Triggered Approach
IEEE TRANSACTIONS ON CYBERNETICS(2024)
摘要
This article addresses the synchronization tracking problem for high-order uncertain nonlinear multiagent systems via intermittent feedback under a directed graph. By resorting to a novel storer-based triggering transmission strategy in the state channels, we propose an event-triggered neuroadaptive control method with quantitative state feedback that exhibits several salient features: 1) avoiding continuous control updates by making the parameter estimations updated intermittently at the trigger instants; 2) resulting in lower-frequency triggering transmissions by using one event detector to monitor the triggering condition such that each agent only needs to broadcast information at its own trigger times; and 3) saving communication and computation resources by designing the intermittent updating of neural network weights using a dual-phase technique during the triggering period. Besides, it is shown that the proposed scheme is capable of steering the tracking/disagreement errors into an adjustable neighborhood close to the origin, and the existence of a strictly positive dwell time is proved to circumvent Zeno behavior. Both theoretical analysis and numerical simulation authenticate and validate the efficiency of the proposed protocols.
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关键词
Quantization (signal),Detectors,Nonlinear systems,Multi-agent systems,Monitoring,State feedback,Stability analysis,Adaptive control,distributed coordination,event-triggering control,nonlinear systems,state quantization
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