Iterative learning control of stochastic multi-agent systems with variable reference trajectory and topology

DOI10.1134/s0005117923060073zbMath1525.93096OpenAlexW4387237068MaRDI QIDQ6060489

P. V. Pakshin, A. S. Koposov

Publication date: 3 November 2023

Published in: Automation and Remote Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s0005117923060073

zbMATH Keywords

stabilitylinear matrix inequalitiesstabilizationmulti-agent systemiterative learning controlvector Lyapunov functionrepetitive processesrandom disturbancesvariable topology

Mathematics Subject Classification ID

Stochastic systems in control theory (general) (93E03) Multi-agent systems (93A16) Iterative learning control (93B47) Topological methods (93B24)

Cites Work

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• Adaptive iterative learning control for coordination of second-order multi-agent systems
• Distributed Data-Driven Iterative Learning Consensus Tracking for Nonlinear Discrete-Time Multiagent Systems

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