Cooperative adaptive neural partial tracking errors constrained control for nonlinear multi-agent systems

Summary This paper considers the problem of partial tracking errors constrained for high‐order nonlinear multi‐agent systems in strict‐feedback form. In the control design, radial‐based function neural networks are utilized to identify uncertain nonlinear functions, and a cooperative adaptive dynami...

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Veröffentlicht in:	International journal of adaptive control and signal processing 2016-07, Vol.30 (7), p.1019-1042
Hauptverfasser:	Shahvali, Milad, Askari, Javad
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive control systems Computer simulation Constraints cooperative adaptive control Design engineering minimal learning parameter multi-agent systems Multiagent systems Neural networks Nonlinearity prescribed performance Tracking errors
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