Zhang neural network for online solution of time-varying convex quadratic program subject to time-varying linear-equality constraints

In this Letter, by following Zhang et al.'s method, a recurrent neural network (termed as Zhang neural network, ZNN) is developed and analyzed for solving online the time-varying convex quadratic-programming problem subject to time-varying linear-equality constraints. Different from conventiona...

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Veröffentlicht in:	Physics letters. A Jg. 373; H. 18; S. 1639 - 1643
Hauptverfasser:	Zhang, Yunong, Li, Zhan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.04.2009
Schlagworte:	Global convergence Gradient-based neural network (GNN) Quadratic programming Recurrent neural networks Time-varying 05.10.-a Recurrent neural networks Global convergence 41A25 52A41 Gradient-based neural network (GNN) Time-varying Quadratic programming 92B20
ISSN:	0375-9601, 1873-2429
Online-Zugang:	Volltext
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