Approximately adaptive neural cooperative control for nonlinear multiagent systems with performance guarantee

DOI10.1080/00207721.2016.1186242zbMath1362.93078OpenAlexW2403413656MaRDI QIDQ5347306

Gennady Staskevich, Jing Wang, Tianyu Yang, Brian Abbe

Publication date: 23 May 2017

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

Full work available at URL: https://doi.org/10.1080/00207721.2016.1186242

zbMATH Keywords

neural networksmultiagent systemscooperative controlmultiagent policy iteration

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Decentralized systems (93A14) Control/observation systems governed by ordinary differential equations (93C15) Agent technology and artificial intelligence (68T42)

Related Items (4)

An optimal cooperative control design for state consensus of periodic multiagent systems ⋮ Fractional-order iterative learning control with initial state learning for a class of multiagent systems ⋮ Consensus tracking of fractional-order multiagent systems via fractional-order iterative learning control ⋮ Connectivity preservation of second-order nonlinear multiagent systems with hybrid event-driven and time-driven control

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