Leader–follower synchronisation for networked Lagrangian systems with uncertainties: a learning approach
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Publication:2795197
DOI10.1080/00207721.2014.911384zbMath1333.93022OpenAlexW2088031960MaRDI QIDQ2795197
Publication date: 18 March 2016
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2014.911384
Learning and adaptive systems in artificial intelligence (68T05) Decentralized systems (93A14) Agent technology and artificial intelligence (68T42)
Related Items (6)
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 ⋮ Decentralized adaptive synchronization with bounded identification errors for discrete-time nonlinear multi-agent systems with unknown parameters and unknown high-frequency gains ⋮ Distributed adaptive control for multiple under-actuated Lagrangian systems under fixed or switching topology ⋮ Distributed point-to-point iterative learning control for multi-agent systems with quantization ⋮ New distributed adaptive protocols for uncertain nonlinear leader-follower multi-agent systems via a repetitive learning control approach
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