Distributed Optimization of Second-Order Nonlinear Multiagent Systems With Event-Triggered Communication

• Published in: IEEE transactions on control of network systems 2021-12, Vol.8 (4), p.1954-1963
• Main Authors: Li, Shiling, Nian, Xiaohong, Deng, Zhenhua
• Format: Article
• Language: English
• Subjects: Algorithms; Communication; Distributed optimization; event-triggered control; Liapunov functions; Multi-agent systems; Multiagent systems; Nonlinear control systems; Nonlinear systems; Optimization; Resource management; second-order systems; Topology; zeno behavior
• ISSN: 2325-5870; 2372-2533
• DOI: 10.1109/TCNS.2021.3092832

In this article, we study the event-triggered distributed optimization problem of second-order nonlinear multiagent systems under undirected and connected communication topologies. To reduce the cost of information exchange in an optimization problem, a distributed event-triggered communication-based algorithm is proposed. In an event-triggered mechanism, the information interaction process of the network is controlled by a set of trigger conditions. The trigger condition of each agent only requires its own state information and its neighboring agents' state information. Each agent updates its own states only at the triggering time. In order to achieve the optimal result of the optimization problem and reduce the cost of communicatio, we propose a distributed event-triggered algorithm based on gradient descent. Moreover, we analyze the convergence of the algorithm by constructing a suitable Lyapunov function. Furthermore, we prove that the Zeno behavior can be avoid. Finally, we provide examples to validate the effectiveness of the obtained result.