Adaptive MLP neural network controller for consensus tracking of Multi-Agent systems with application to synchronous generators

作者：

Highlights：

• MLP Neural network is utilized to achieve consensus protocol.

• The controller is applied on distributed synchronous generator nonlinear Multi-Agent system.

• A novel weight update law is developed.

• Lyapunov method guarantees the uniformly ultimately boundedness of consensus error.

摘要

•MLP Neural network is utilized to achieve consensus protocol.•The controller is applied on distributed synchronous generator nonlinear Multi-Agent system.•A novel weight update law is developed.•Lyapunov method guarantees the uniformly ultimately boundedness of consensus error.

论文关键词：Neural network,Multi-Agent systems,Consensus tracking,Synchronous generator

论文评审过程：Received 29 May 2020, Revised 19 June 2021, Accepted 19 June 2021, Available online 7 July 2021, Version of Record 11 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115460