A Dynamic Event-Triggered Transmission Strategy for Distributed Convex Optimization - 文章详情页

作者：

Liu, Pengfei (Liu, Pengfei.) | Liu, Kun-Zhi (Liu, Kun-Zhi.) | Zhang, Dianfeng (Zhang, Dianfeng.) | Du, Shengli (Du, Shengli.)

收录：

EI Scopus

摘要：

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).　©　2023　Technical　Committee　on　Control　Theory,　Chinese　Association　of　Automation.

关键词：

Transmissions Convex optimization Continuous time systems Directed graphs Hybrid systems

作者机构：

[ 1 ] [Liu, Pengfei]Dalian University of Technology, Academy of Control Science and Engineering, Dalian; 116024, China
[ 2 ] [Liu, Kun-Zhi]Dalian University of Technology, Academy of Control Science and Engineering, Dalian; 116024, China
[ 3 ] [Zhang, Dianfeng]School of Mathematics and Informational Science, Yantai University, Yantai; 100124, China
[ 4 ] [Du, Shengli]College of Automation, Faculty of Information Technology, Beijing University of Technology, Yantai; 100124, China

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