Performing linear convergence for distributed constrained optimisation over time‐varying directed unbalanced networks-Reference-Cited by-同舟云学术

Performing linear convergence for distributed constrained optimisation over time‐varying directed unbalanced networks

Published:2019-11 Issue:17 Volume:13 Page:2800-2810
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Lü Qingguo¹^ORCID,Li Huaqing¹,Wang Zheng¹,Han Qi²,Ge Wei³

Affiliation:

1. Chongqing Key Laboratory of Non‐linear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest UniversityChongqing400715People's Republic of China

2. College of Electrical and Information Engineering, Chongqing University of Science and TechnologyChongqing401331People's Republic of China

3. College of Chemistry and Chemical Engineering, Nanjing UniversityNajing210046People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2018.6026

Reference44 articles.

1. Distributed optimal integrated tracking control for separate kinematic and dynamic uncertain non‐holonomic mobile mechanical multi‐agent systems

2. An Extremum-Seeking Controller for Distributed Optimization Over Sensor Networks

3. Optimally distributed formation control with obstacle avoidance for mixed‐order multi‐agent systems under switching topologies

4. Distributed resource allocation over random networks based on stochastic approximation

5. Asynchronous algorithms for distributed optimisation and application to distributed regression with robustness to outliers;Liu W.;IET Control Theory Applic.,2013

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