Neural network adaptive dynamic sliding mode formation control of multi-agent systems

DOI10.1080/00207721.2020.1783385zbMath1483.93053OpenAlexW3037825232MaRDI QIDQ5026794

Peng Shi, Yang Fei, Cheng-Chew Lim

Publication date: 8 February 2022

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

Full work available at URL: https://doi.org/10.1080/00207721.2020.1783385

zbMATH Keywords

multi-agent systemsformation controlChebyshev neural networkdynamic sliding mode controlBouc-Wen hysteresis

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Variable structure systems (93B12) Multi-agent systems (93A16)

Related Items (8)

Adaptive finite-time control for nonlinear multi-agent high-order systems with actuator faults ⋮ On practical terminal sliding-mode control for systems with or without mismatched uncertainty ⋮ A new fractional-order developed type-2 fuzzy control for a class of nonlinear systems ⋮ Decoupled design of distributed event-triggered circle formation control for multi-agent system ⋮ Observer-based formation tracking control for feedforward nonlinear multi-agent systems with dead-zone input ⋮ Disturbance observer-based sliding mode control for consensus tracking of chaotic nonlinear multi-agent systems ⋮ Predefined-time integral sliding mode control of second-order systems ⋮ Bimanual robot control for surface treatment tasks

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