A Unified Optimization-Based Framework to Adjust Consensus Convergence Rate and Optimize the Network Topology in Uncertain Multi-Agent Systems

doi:10.1109/JAS.2021.1004111

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	A Unified Optimization-Based Framework to Adjust Consensus Convergence Rate and Optimize the Network Topology in Uncertain Multi-Agent Systems
	Mohammad Saeed Sarafraz; Mohammad Saleh Tavazoei
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2021
卷号	8 期号:9 页码:1539-1548
摘要	This paper deals with the consensus problem in an uncertain multi-agent system whose agents communicate with each other through a weighted undirected (primary) graph. The considered multi-agent system is described by an uncertain state-space model in which the involved matrices belong to some matrix boxes. As the main contribution of the paper, a unified optimization-based framework is proposed for simultaneously reducing the weights of the edges of the primary communication graph (optimizing the network topology) and synthesizing a controller such that the consensus in the considered uncertain multi-agent system is ensured with an adjustable convergence rate. Considering the NP-hardness nature of the optimization problem related to the aforementioned framework, this problem is relaxed such that it can be solved by regular LMI solvers. Numerical/practical-based examples are presented to verify the usefulness of the obtained results.
关键词	Convergence-rate element-wise uncertainty robust controller topology design
DOI	10.1109/JAS.2021.1004111
引用统计	被引频次：6[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/173211/45370
专题	学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Mohammad Saeed Sarafraz,Mohammad Saleh Tavazoei. A Unified Optimization-Based Framework to Adjust Consensus Convergence Rate and Optimize the Network Topology in Uncertain Multi-Agent Systems[J]. IEEE/CAA Journal of Automatica Sinica,2021,8(9):1539-1548.
APA	Mohammad Saeed Sarafraz,&Mohammad Saleh Tavazoei.(2021).A Unified Optimization-Based Framework to Adjust Consensus Convergence Rate and Optimize the Network Topology in Uncertain Multi-Agent Systems.IEEE/CAA Journal of Automatica Sinica,8(9),1539-1548.
MLA	Mohammad Saeed Sarafraz,et al."A Unified Optimization-Based Framework to Adjust Consensus Convergence Rate and Optimize the Network Topology in Uncertain Multi-Agent Systems".IEEE/CAA Journal of Automatica Sinica 8.9(2021):1539-1548.

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