A High Order Integration Enhanced Zeroing Neural Network for Time-Varying Convex Quadratic Program Against Nonlinear Noise

A High Order Integration Enhanced Zeroing Neural Network for Time-Varying Convex Quadratic Program Against Nonlinear Noise

The quadratic programming (QP) problem constitutes a distinctive class within mathematical optimization, prevalent in scientific computations and engineering applications. In practical scenarios, noise interference has the potential to adversely impact the solution accuracy of time-varying QP (TVQP)...

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Bibliographic Details
Main Authors:	Jianfeng Li, Yang Rong, Zhan Li, Shuai Li, Linxi Qu
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Series:	IEEE Access
Subjects:	Triple-integration-enhanced zeroing neural network (TIEZNN) quadratic programming time-varying gradient-based neural network (GNN)
Online Access:	https://ieeexplore.ieee.org/document/10430162/

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