Fuzzy adaptive iterative learning coordination control of second-order multi-agent systems with imprecise communication topology structure

DOI10.1080/00207721.2017.1412533zbMath1385.93045OpenAlexW2772505247MaRDI QIDQ4638195

Jiaxi Chen, Junmin Li

Publication date: 3 May 2018

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

Full work available at URL: https://doi.org/10.1080/00207721.2017.1412533

zbMATH Keywords

consensus algorithmmulti-agent systems (MAS)T-S fuzzy systemAILCimprecise communication topology structure

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Fuzzy control/observation systems (93C42) Adaptive control/observation systems (93C40) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Decentralized systems (93A14) Control/observation systems governed by ordinary differential equations (93C15) Agent technology and artificial intelligence (68T42)

Related Items (5)

Consensus control via iterative learning for distributed parameter models multi-agent systems with time-delay ⋮ Distributed fuzzy adaptive consensus for high-order multi-agent systems with an imprecise communication topology structure ⋮ Observer based switching ILC for consensus of nonlinear nonaffine multi-agent systems ⋮ T‐S fuzzy model–based adaptive repetitive learning consensus control of high‐order multiagent systems with imprecise communication topology structure ⋮ T–S fuzzy model-based adaptive repetitive consensus control for multi-agent systems with imprecise communication topology structure

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