Distributed zero‐gradient‐sum algorithm for convex optimization with time‐varying communication delays and switching networks

DOI10.1002/rnc.4289zbMath1403.93014OpenAlexW2887851880MaRDI QIDQ4556478

Zhi-Jun Guo, Gang Chen

Publication date: 16 November 2018

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.4289

zbMATH Keywords

multi-agent systemswitching networkdistributed convex optimizationtime-varying communication delayszero-gradient-sum algorithm

Mathematics Subject Classification ID

Convex programming (90C25) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Linearizations (93B18) Decentralized systems (93A14) Agent technology and artificial intelligence (68T42)

Related Items (8)

A local-minimization-free zero-gradient-sum algorithm for distributed optimization ⋮ Distributed hybrid impulsive algorithm with supervisory resetting for nonlinear optimization problems ⋮ Composite optimization with coupling constraints via dual proximal gradient method with applications to asynchronous networks ⋮ Distributed continuous‐time constrained convex optimization with general time‐varying cost functions ⋮ Velocity-free distributed coordinated optimal control for second-order multi-agent systems ⋮ Cooperative convex optimization with subgradient delays using push-sum distributed dual averaging ⋮ Distributed constrained optimization problem of heterogeneous linear multi-agent systems with communication delays ⋮ Event-triggered zero-gradient-sum distributed optimisation algorithm with time-varying communication delays

This page was built for publication: Distributed zero‐gradient‐sum algorithm for convex optimization with time‐varying communication delays and switching networks