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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Vydáno v:	IEEE transaction on neural networks and learning systems Ročník 36; číslo 8; s. 14037 - 14048
Hlavní autoři:	Kong, Ying, Chen, Xi, Jiang, Yunliang, Sun, Danfeng, Zhang, Jun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.08.2025
Témata:	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
On-line přístup:	Získat plný text
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