Distributed adaptive fuzzy iterative learning control of coordination problems for higher order multi-agent systems

DOI10.1080/00207721.2014.993139zbMath1345.93010OpenAlexW1976389331MaRDI QIDQ2822278

Junmin Li, Jinsha Li

Publication date: 30 September 2016

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2014.993139

zbMATH Keywords

nonlinear systemsfuzzy systemmulti-agent systemcoordination problemadaptive iterative learning control

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Adaptive control/observation systems (93C40) Decentralized systems (93A14) Agent technology and artificial intelligence (68T42)

Related Items (7)

Global iterative learning control based on fuzzy systems for nonlinear multi-agent systems with unknown dynamics ⋮ Distributed learning consensus for heterogenous high-order nonlinear multi-agent systems with output constraints ⋮ Fuzzy adaptive iterative learning coordination control of second-order multi-agent systems with imprecise communication topology structure ⋮ Two updating schemes of iterative learning control for networked control systems with random data dropouts ⋮ Observer based switching ILC for consensus of nonlinear nonaffine multi-agent systems ⋮ Coordination control of uncertain topological high-order multi-agent systems: distributed fuzzy adaptive iterative learning approach ⋮ Consensus control of leader-following nonlinear multi-agent systems with distributed adaptive iterative learning control

Cites Work

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• Tracking control for multi-agent consensus with an active leader and variable topology
• Distributed observers design for leader-following control of multi-agent networks
• Leader-following consensus of high-order multi-agent linear systems with bounded transmission channels
• Consensus in multi-agent systems with communication constraints
• Cooperative adaptive control for synchronization of second-order systems with unknown nonlinearities
• Coordination of networked systems on digraphs with multiple leaders via pinning control
• Consensus of Multi-Agent Systems in Directed Networks With Nonuniform Time-Varying Delays
• A Barbalat-Like Lemma with Its Application to Learning Control
• Finite-time consensus of multiple second-order dynamic agents without velocity measurements
• Observer‐based consensus of second‐order multi‐agent system with fixed and stochastically switching topology via sampled data

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