Consensus-based iterative learning of heterogeneous agents with application to distributed optimization

DOI10.1016/j.automatica.2021.110096zbMath1482.93572OpenAlexW4200279038WikidataQ114903182 ScholiaQ114903182MaRDI QIDQ2071935

Deyuan Meng, Qiang Song, Fang Liu

Publication date: 31 January 2022

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2021.110096

zbMATH Keywords

multi-agent systemiterative learning controlconsensusdistributed convex optimizationswitching topology

Mathematics Subject Classification ID

Convex programming (90C25) Nonlinear systems in control theory (93C10) Multi-agent systems (93A16) Consensus (93D50) Iterative learning control (93B47)

Related Items (1)

Quantized iterative learning control for nonlinear multi-agent systems with limited information communication and input saturation

Cites Work

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• On the convergence of iterative learning control
• Two-dimensional systems. From introduction to state of the art
• Learning to cooperate: networks of formation agents with switching topologies
• Consensus control for multi-agent systems with distributed parameter models via iterative learning algorithm
• Distributed convex optimization via continuous-time coordination algorithms with discrete-time communication
• Distributed learning consensus for heterogenous high-order nonlinear multi-agent systems with output constraints
• Discrete-time formulation, control, solution and verification of pendulum systems with zeroing neural dynamics
• Optimization theory and methods. Nonlinear programming
• Average Consensus in the Presence of Delays in Directed Graph Topologies
• Distributed Continuous-Time Convex Optimization on Weight-Balanced Digraphs
• Local Prediction for Enhanced Convergence of Distributed Optimization Algorithms
• Distributed Subgradient Methods for Multi-Agent Optimization
• Bounded Synchronization of Heterogeneous Complex Dynamical Networks: A Unified Approach
• EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization
• Iterative learning control synthesis based on 2-D system theory

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