A Dynamic Event-Triggered Transmission Strategy for Distributed Convex Optimization

A dynamic event-triggered transmission strategy is considered for the continuous-time distributed convex optimization algorithm over a strongly connected and weight-balanced directed graph. An auxiliary variable is introduced in the dynamic event-triggered control (DETC) that is free of Zeno phenome...

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Bibliographic Details
Main Authors: Liu, Pengfei, Liu, Kun-Zhi, Zhang, Dianfeng, Du, Shengli
Format: Conference Proceeding
Language:English
Subjects:
Control systems
Convex functions
Convex optimization
Directed graphs
Distributed algorithm
Dynamic event-triggered control
Heuristic algorithms
Hybrid system
Numerical models
Numerical simulation
Optimization
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Summary:A dynamic event-triggered transmission strategy is considered for the continuous-time distributed convex optimization algorithm over a strongly connected and weight-balanced directed graph. An auxiliary variable is introduced in the dynamic event-triggered control (DETC) that is free of Zeno phenomenon. We model the DETC system into a hybrid system. Using Lyapunov stability theory, we give a detailed proof for convergence of the continuous-time distributed convex optimization algorithm. Finally, a numerical simulation shows that the DETC can effectively save network communication resources compared with a static event-triggered control (SETC).
ISSN:2161-2927
DOI:10.23919/CCC58697.2023.10241117