Stable tracking control to a nonlinear process via neural network model

A stable neural network control scheme for unknown non-linear systems is developed in this paper. While the control variable is optimised to minimize the performance index, convergence of the index is guaranteed asymptotically stable by a Lyapnov control law. The optimization is achieved using a gra...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Peng Wang, Yuliang Cong, Xuebai Zang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Computational modeling Lyapnov neural network nonlinear system Radio access networks
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