Neuro–Adaptive Cooperative Control for High–Order Nonlinear Multi–Agent Systems with Uncertainties

Neuro–Adaptive Cooperative Control for High–Order Nonlinear Multi–Agent Systems with Uncertainties

The consensus problem for a class of high-order nonlinear multi-agent systems (MASs) with external disturbance and system uncertainty is studied. We design an online-update radial basis function (RBF) neural network based distributed adaptive control protocol, where the sliding model control method...

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Bibliographic Details
Main Authors: Peng Cheng, Zhang Anguo, Li Junyu
Format: Article
Language:English
Published: Sciendo 2021-12-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
multi-agent systems
rbf neural network
sliding mode control
cooperative control
Online Access:https://doi.org/10.34768/amcs-2021-0044

Internet

https://doi.org/10.34768/amcs-2021-0044

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