Distributed solver for linear matrix inequalities: an optimization perspective

Weijian Li, Wen Deng*, Xianlin Zeng, Yiguang Hong

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

4 引用 (Scopus)

摘要

In this paper, we develop a distributed solver for a group of strict (non-strict) linear matrix inequalities over a multi-agent network, where each agent only knows one inequality, and all agents co-operate to reach a consensus solution in the intersection of all the feasible regions. The formulation is transformed into a distributed optimization problem by introducing slack variables and consensus constraints. Then, by the primal–dual methods, a distributed algorithm is proposed with the help of projection operators and derivative feedback. Finally, the convergence of the algorithm is analyzed, followed by illustrative simulations.

源语言英语
页(从-至)507-515
页数9
期刊Control Theory and Technology
19
4
DOI
出版状态已出版 - 11月 2021

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