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Distributed Multiproximal Algorithm for Nonsmooth Convex Optimization With Coupled Inequality Constraints

delete2023-12-01
delete6
PRE
AI
黄毅 封面图
黄毅 (Yi Huang)
Z
Ziyang Meng *
孙
孙健 (Jian Sun)
W
Wei Ren
DOI:10.1109/TAC.2023.3293521delete
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摘要

摘要

En 中文
This article studies a class of distributed nonsmooth convex optimization problems subject to local set constraints and coupled nonlinear inequality constraints. In particular, each local objective function consists of one differentiable convex function and multiple nonsmooth convex functions. By applying multiple proximal splittings and derivative feedback techniques, a new distributed continuous-time multiproximal algorithm is developed, whose dynamics satisfies Lipschitz continuity even if the considered problem is nonsmooth. Compared with previous results that rely on either the differentiability or strong convexity of local objective functions, the proposed algorithm can be applied to more general functions, which are only convex and not necessarily smooth. Moreover, in contrast to some results that require some specific initial conditions, the developed algorithm is free of initialization. The convergence analysis of the proposed algorithm is conducted by applying Lyapunov stability theory. It is shown that the states of all the agents achieve consensus at an optimal solution. Finally, a numerical example is presented to demonstrate the effectiveness of the proposed algorithm.
Keyword:
Coupled inequality constraint
distributed algorithm
nonsmooth convex optimization
proximal splitting

期刊

IEEE Transactions on Automatic Control 封面图
IEEE Transactions on Automatic Control
IF:
7
论文数:
1.3W
被引数:
6.7W

机构

T
tsinghua university
学者数:
11.9W
论文数: 10.0W
被引数: 137
B
beijing institute of technology
学者数:
5.5W
论文数: 4.0W
被引数: 63
University of California System 封面图
University of California System
学者数:
37.7W
论文数: 33.8W
被引数: 6.6K
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err2013-07-24
err0
errOAAI
errRonei Silveira Pinto; Cleiton Silva Correa; Regis Radaelli; Eduardo Lusa Cadore; Lee E. Brown; Martim Bottaro
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