Formation Tracking for Nonaffine Nonlinear Multiagent Systems Using Neural Network Adaptive Control

Adaptive tracking control for distributed multiagent systems in nonaffine form is considered in this paper. Each follower agent is modeled by a nonlinear pure-feedback system with nonaffine form, and a nonlinear system is unknown functions rather than constants. Radial basis function neural networks...

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Veröffentlicht in:	Mathematical problems in engineering 2020, Vol.2020 (2020), p.1-8
Hauptverfasser:	Zhao, Tongjuan, Zhang, Jianhua, Wang, Jiuhe
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive control Artificial intelligence Inequality Mathematical models Multiagent systems Neural networks Nonlinear systems Radial basis function Topography Tracking control
Online-Zugang:	Volltext
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