Distributed optimization for discrete time‐varying linear multi‐agent systems with event‐triggered communication

Mingxia Gu, Zhiyong Yu, Haijun Jiang
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Abstract

This paper studies the distributed optimization problem (DOP) of discrete time‐varying linear multi‐agent systems (MASs), in which the global objective function is formed by a sum of local convex objective functions. Firstly, a DOP with discrete time‐varying MASs is considered, in which the time‐varying linear matrix satisfies a certain equality constraint. To solve this problem, a novel discrete‐time distributed optimization algorithm (DOA) with event‐triggered communication mechanism (ETCM) is proposed. Secondly, by constructing the error dynamical system and using a series of inequality techniques, some sufficient conditions for achieving consensus and obtaining the optimal solution are established. It is found that the considered MAS has generality and the proposed DOA has the advantage of reducing communication burden. Finally, a numerical simulation is presented to verify the validity of theoretical results.
具有事件触发通信的离散时变线性多代理系统的分布式优化
本文研究了离散时变线性多代理系统(MAS)的分布式优化问题(DOP),其中全局目标函数由局部凸目标函数之和构成。首先考虑的是离散时变 MAS 的 DOP,其中时变线性矩阵满足一定的相等约束。为解决这一问题,提出了一种具有事件触发通信机制(ETCM)的新型离散时间分布式优化算法(DOA)。其次,通过构建误差动态系统和使用一系列不等式技术,建立了一些达成共识和获得最优解的充分条件。研究发现,所考虑的 MAS 具有通用性,所提出的 DOA 具有减轻通信负担的优势。最后,通过数值模拟验证了理论结果的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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