A fixed-time convergent algorithm for distributed convex optimization in multi-agent systems

Gang Chen

doi:10.1016/j.automatica.2018.05.032

2018-09-01

113

PRE

Gang Chen *

李志勇 (Zhiyong Li)

DOI：10.1016/j.automatica.2018.05.032

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摘要

En 中文

This technical paper presents a distributed continuous-time algorithm to solve multi-agent optimization problem with the team objective being the sum of all local convex objective functions while subject to an equality constraint. The optimal solutions are achieved within fixed time which is independent of the initial conditions of agents. This advantage makes it possible to off-line preassign the settling time according to task requirements. The fixed-time convergence for the proposed algorithm is rigorously proved with the aid of convex optimization and fixed-time Lyapunov theory. Finally, the algorithm is valuated via an example. (C) 2018 Elsevier Ltd. All rights reserved.

Keyword:

Distributed algorithm

Convex optimization

Equality constraint

Fixed-time convergence

Multi-agent system

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期刊

Automatica

IF:

5.9

论文数:

1.2W

被引数:

5.2W

机构

Chongqing University

学者数:

5.1W

论文数: 4.1W

被引数: 6.0W

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