An Adaptive Zeroing Neural Network with Non-Convex Activation for Time-Varying Quadratic Minimization

An Adaptive Zeroing Neural Network with Non-Convex Activation for Time-Varying Quadratic Minimization

The field of position tracking control and communication engineering has been increasingly interested in time-varying quadratic minimization (TVQM). While traditional zeroing neural network (ZNN) models have been effective in solving TVQM problems, they have limitations in adapting their convergence...

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Bibliographic Details
Main Authors: Hang Yi, Wenjun Peng, Xiuchun Xiao, Shaojin Feng, Hengde Zhu, Yudong Zhang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Mathematics
Subjects:
time-varying problems
zeroing neural network
adaptive coefficient
non-convex activation
quadratic minimization
Online Access:https://www.mdpi.com/2227-7390/11/11/2556

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https://www.mdpi.com/2227-7390/11/11/2556

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