Novel Discretized Zeroing Neural Network Models for Time-Varying Optimization Aided With Predictor-Corrector Methods

In this article, we derive the predictor-corrector (PC) methods with three-order convergent precision, together with a class of specific general linear three-step (GLTS) rules provided. Afterward, a time-varying optimization (TVO) problem, which is deemed as a discrete TVO has been formulated and st...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 36; H. 8; S. 14037 - 14048
Hauptverfasser:	Kong, Ying, Chen, Xi, Jiang, Yunliang, Sun, Danfeng, Zhang, Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.08.2025
Schlagworte:	General linear three-step (GLTS) rules Geophysical measurement techniques Ground penetrating radar Iterative methods Kinematics manipulator trajectory planning Mathematical models Neural networks Numerical models Numerical stability Optimization Planning predictor-corrector discrete zeroing neural network (PC-DZNN) time-varying optimization (TVO)
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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