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A Fully Distributed Hybrid Control Framework For Non-Differentiable Multi-Agent Optimization
Xia Jiang; Xianlin Zeng; Jian Sun; Jie Chen; Yue Wei
发表期刊IEEE/CAA Journal of Automatica Sinica
ISSN2329-9266
2022
卷号9期号:10页码:1792-1800
摘要This paper develops a fully distributed hybrid control framework for distributed constrained optimization problems. The individual cost functions are non-differentiable and convex. Based on hybrid dynamical systems, we present a distributed state-dependent hybrid design to improve the transient performance of distributed primal-dual first-order optimization methods. The proposed framework consists of a distributed constrained continuous-time mapping in the form of a differential inclusion and a distributed discrete-time mapping triggered by the satisfaction of local jump set. With the semistability theory of hybrid dynamical systems, the paper proves that the hybrid control algorithm converges to one optimal solution instead of oscillating among different solutions. Numerical simulations illustrate better transient performance of the proposed hybrid algorithm compared with the results of the existing continuous-time algorithms.
关键词Distributed algorithm hybrid framework multi-agent network non-differentiable optimization
DOI10.1109/JAS.2022.105872
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被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/49709
专题学术期刊_IEEE/CAA Journal of Automatica Sinica
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GB/T 7714
Xia Jiang,Xianlin Zeng,Jian Sun,et al. A Fully Distributed Hybrid Control Framework For Non-Differentiable Multi-Agent Optimization[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(10):1792-1800.
APA Xia Jiang,Xianlin Zeng,Jian Sun,Jie Chen,&Yue Wei.(2022).A Fully Distributed Hybrid Control Framework For Non-Differentiable Multi-Agent Optimization.IEEE/CAA Journal of Automatica Sinica,9(10),1792-1800.
MLA Xia Jiang,et al."A Fully Distributed Hybrid Control Framework For Non-Differentiable Multi-Agent Optimization".IEEE/CAA Journal of Automatica Sinica 9.10(2022):1792-1800.
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