Yiming Wu , Nan Tang , Xiaozhen Pan , Ming Xu , Shuai Liu
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Adaptive sampling-based event-triggered consensus for multi-agent systems
This brief addresses the event-triggered consensus problem of linear multi-agent systems (MASs) considered limited resources. A novel adaptive sampling dynamic event-triggered control (ASDETC) is proposed. It incorporates an inner self-learning term into the triggering conditions, enabling each agent to adaptively adjust its sampling detection interval based on the frequency of event triggering. To ensure effectiveness, a detection interval updating algorithm is developed. Further, we consider the adaptive sampling-based event-triggered consensus issue in directed and switching topology. With the aid of Lyapunov analysis, it is demonstrated that ASDETC can drive the MAS towards exponential consensus while effectively avoiding potential Zeno behavior. Finally, numerical simulations are conducted to validate the results.
期刊介绍:
Founded in 1981 by two of the pre-eminent control theorists, Roger Brockett and Jan Willems, Systems & Control Letters is one of the leading journals in the field of control theory. The aim of the journal is to allow dissemination of relatively concise but highly original contributions whose high initial quality enables a relatively rapid review process. All aspects of the fields of systems and control are covered, especially mathematically-oriented and theoretical papers that have a clear relevance to engineering, physical and biological sciences, and even economics. Application-oriented papers with sophisticated and rigorous mathematical elements are also welcome.