Distributed approximate Newton algorithms and weight design for constrained optimization
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Publication:2280935
DOI10.1016/j.automatica.2019.108538zbMath1429.93016arXiv1804.06238OpenAlexW2971936862MaRDI QIDQ2280935
Tor Anderson, Sonia Martínez, Chin-Yao Chang
Publication date: 19 December 2019
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1804.06238
Approximation algorithms (68W25) Resource and cost allocation (including fair division, apportionment, etc.) (91B32) Multi-agent systems (93A16) Networked control (93B70)
Related Items (10)
Adaptive backstepping for distributed optimization ⋮ Distributed optimal resource allocation over strongly connected digraphs: a surplus-based approach ⋮ Consensus of general linear multi-agent systems based on second-order neighbours' information: directed topology case ⋮ Distributed strategy for constrained resource allocation problems of autonomous second-order nonlinear agents and its application to smart grids ⋮ Complex group consensus of multi-agent systems with cooperative-competitive mechanisms: acyclic partition method ⋮ Convergence analysis of first-order discrete multi-agent systems with cooperative-competitive mechanisms ⋮ Distributed resource allocation with binary decisions via Newton-like neural network dynamics ⋮ Distributed resource allocation via multi-agent systems under time-varying networks ⋮ Projected subgradient based distributed convex optimization with transmission noises ⋮ Surplus-based accelerated algorithms for distributed optimization over directed networks
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