Paper Info
Title
Continuous-Time Algorithm For Distributed Constrained Optimization Over Directed Graphs
Abstract
This paper presents a distributed continuoustime algorithm to solve the convex optimization problem with local inequality constraints and a globally coupled equality constraint. Unlike the existing related results only considering quadratic or nonquadratic but smooth local objective function, this work takes into account a wider class of objective functions which could be nonquadratic and nonsmooth. Moreover, the communication graphs considered in this paper are weightbalanced digraphs other than the undirected graphs required in most existing results. Although the symmetry property of graphs is no longer satisfied, the proposed algorithm still converges to the optimal solution of the optimization problem. Finally, the efficacy of the proposed algorithm is verified by both theoretical analysis and simulation results.
Year
DOI
Venue
2019
10.1109/ICCA.2019.8899528
2019 IEEE 15TH INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA)
Field
DocType
ISSN
Graph,Quadratic equation,Algorithm,Directed graph,Engineering,Convex optimization,Optimization problem,Constrained optimization
Conference
1948-3449
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Qing Yang100.34
Gang Chen2174.63
Jianghong Ren3281.87