
This paper studies synchronization of dynamical networks with event-based communication. Firstly, two estimators are introduced into each node, one to estimate its own state, and the other to estimate the average state of its neighbours. Then, with these two estimators, a distributed event-triggering rule (ETR) with a dwell time is designed such that the network achieves synchronization asymptotically with no Zeno behaviours. The designed ETR only depends on the information that each node can obtain, and thus can be implemented in a decentralized way.
8 pages, 2 figues, 1 table
FOS: Computer and information sciences, asymptotic synchronization, dynamical networks, Systems and Control (eess.SY), Dynamical Systems (math.DS), Decentralized systems, Discrete event control/observation systems, Electrical Engineering and Systems Science - Systems and Control, Dynamical networks, Linear systems in control theory, Large-scale systems, Distributed event-triggered control, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Computer Science - Multiagent Systems, Mathematics - Dynamical Systems, Asymptotic synchronization, Control/observation systems governed by ordinary differential equations, distributed event-triggered control, Multiagent Systems (cs.MA)
FOS: Computer and information sciences, asymptotic synchronization, dynamical networks, Systems and Control (eess.SY), Dynamical Systems (math.DS), Decentralized systems, Discrete event control/observation systems, Electrical Engineering and Systems Science - Systems and Control, Dynamical networks, Linear systems in control theory, Large-scale systems, Distributed event-triggered control, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Computer Science - Multiagent Systems, Mathematics - Dynamical Systems, Asymptotic synchronization, Control/observation systems governed by ordinary differential equations, distributed event-triggered control, Multiagent Systems (cs.MA)
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