A Bi-event-Triggered Multi-agent System for Distributed Optimization
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 1074-1084 |
Number of pages | 11 |
Journal / Publication | IEEE Transactions on Network Science and Engineering |
Volume | 10 |
Issue number | 2 |
Online published | 14 Dec 2022 |
Publication status | Published - Mar 2023 |
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Abstract
In this paper, we propose a continuous-time multiagent system via event-triggered communication among agents for distributed optimization. We develop a dynamic bi-event triggering rule based on both local decision variables and auxiliary variables to reduce communication costs. We design a bi-event triggered multi-agent system based on the Karush-Kuhn-Tucker conditions, which allows initializing auxiliary variables arbitrarily and hence relaxing the existing zero-sum condition on the initial values of auxiliary variables. We prove the exponential convergence of the multi-agent system to the optimal solution and derive a lower bound of the convergence rate. In addition, we prove the capability of the triggering rule for precluding Zeno behavior. We also elaborate on two numerical examples to illustrate the effectiveness and characteristics of the theoretical results.
Research Area(s)
- Bandwidth, Behavioral sciences, Convergence, Distributed optimization, Eigenvalues and eigenfunctions, event-triggered communication, Linear programming, multi-agent systems, Optimization, Protocols, Zeno behavior
Citation Format(s)
A Bi-event-Triggered Multi-agent System for Distributed Optimization. / Huang, Banghua; Liu, Yang; Xia, Zicong et al.
In: IEEE Transactions on Network Science and Engineering, Vol. 10, No. 2, 03.2023, p. 1074-1084.
In: IEEE Transactions on Network Science and Engineering, Vol. 10, No. 2, 03.2023, p. 1074-1084.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review