Neural Network-Based Robust Bipartite Consensus Tracking Control of Multi-Agent System with Compound Uncertainties and Actuator Faults

Neural Network-Based Robust Bipartite Consensus Tracking Control of Multi-Agent System with Compound Uncertainties and Actuator Faults

This paper addresses the challenging problem of bipartite consensus tracking of multi-agent systems that are subject to compound uncertainties and actuator faults. Specifically, the study considers a leader agent with fractional-order nonlinear dynamics unknown to the followers. In addition, both co...

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Bibliographic Details
Main Authors: Tong Li, Kaiyu Qin, Bing Jiang, Qian Huang, Hui Liu, Boxian Lin, Mengji Shi
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Electronics
Subjects:
bipartite consensus tracking
neural network
compound uncertainties
actuator faults
Online Access:https://www.mdpi.com/2079-9292/12/11/2524

Internet

https://www.mdpi.com/2079-9292/12/11/2524

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