Time-Varying Quadratic Programming by Zhang Neural Network Equipped with a Time-Varying Design Parameter γ(t)

2011 ◽  
pp. 101-108 ◽  
Author(s):  
Zhan Li ◽  
Yunong Zhang
Keyword(s):  
Neural Network ◽  
Quadratic Programming ◽  
Design Parameter ◽  
Time Varying ◽  
Zhang Neural Network

scholarly journals A varying-gain ZNN model with fixed-time convergence and noise-tolerant performance for time-varying linear equation and inequality systems

2021 ◽  
Author(s):  
Miaomiao Zhang
Keyword(s):  
Neural Network ◽  
Linear Equation ◽  
Design Parameter ◽  
Nonlinear Function ◽  
Fixed Time ◽  
Time Varying ◽  
Bounded Noise ◽  
Inequality Systems ◽  
Zhang Neural Network ◽  
Noise Tolerant

<div>In this paper, a varying-gain zeroing (or Zhang) neural network (VG-ZNN) is proposed to obtain the online solution of the time-varying linear equation and inequality system. Distinguished from the fixed-value design parameter in</div><div>the original zeroing (or Zhang) neural network (ZNN) models, the design parameter of the VG-ZNN model is a nonlinear function that changes with time. The VG-ZNN model composed of the new time-varying design parameter we proposed can achieve fixed-time convergence and tolerate time-varying bounded noise and time-varying derivable noise. The theoretical detailed analysis of the convergence and robustness of the VG-ZNN model are given.</div>

scholarly journals A varying-gain ZNN model with fixed-time convergence and noise-tolerant performance for time-varying linear equation and inequality systems

2021 ◽  
Author(s):  
Miaomiao Zhang
Keyword(s):  
Neural Network ◽  
Linear Equation ◽  
Design Parameter ◽  
Nonlinear Function ◽  
Fixed Time ◽  
Time Varying ◽  
Bounded Noise ◽  
Inequality Systems ◽  
Zhang Neural Network ◽  
Noise Tolerant

<div>In this paper, a varying-gain zeroing (or Zhang) neural network (VG-ZNN) is proposed to obtain the online solution of the time-varying linear equation and inequality system. Distinguished from the fixed-value design parameter in</div><div>the original zeroing (or Zhang) neural network (ZNN) models, the design parameter of the VG-ZNN model is a nonlinear function that changes with time. The VG-ZNN model composed of the new time-varying design parameter we proposed can achieve fixed-time convergence and tolerate time-varying bounded noise and time-varying derivable noise. The theoretical detailed analysis of the convergence and robustness of the VG-ZNN model are given.</div>

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