Coordination control of multi-agent systems with second-order nonlinear dynamics using fully distributed adaptive iterative learning

DOI10.1016/j.jfranklin.2015.03.025zbMath1395.93017OpenAlexW2035904412MaRDI QIDQ1660489

Jinsha Li, Junmin Li

Publication date: 16 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2015.03.025

zbMATH Keywords

multi-agent systemssecond-order nonlinear dynamicscoordination controladaptive iterative learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Hierarchical systems (93A13) Stochastic learning and adaptive control (93E35) Agent technology and artificial intelligence (68T42)

Related Items (8)

Consensus control for multi-agent systems with distributed parameter models via iterative learning algorithm ⋮ Consensus control for multi-agent systems with quasi-one-sided Lipschitz nonlinear dynamics via iterative learning algorithm ⋮ Fully distributed event-triggered consensus for a class of second-order nonlinear multi-agent systems ⋮ On iterative learning control for MIMO nonlinear systems in the presence of time-iteration-varying parameters ⋮ Adaptive iterative learning control for discrete‐time nonlinear systems with multiple iteration‐varying high‐order internal models ⋮ Global iterative learning control based on fuzzy systems for nonlinear multi-agent systems with unknown dynamics ⋮ Decentralized finite-time adaptive fault-tolerant synchronization tracking control for multiple UAVs with prescribed performance ⋮ Distributed learning consensus for heterogenous high-order nonlinear multi-agent systems with output constraints

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