Globally asymptotical stability of discrete-time analog neural networks

1996 ◽  
Vol 7 (4) ◽  
pp. 1024-1031 ◽  
Author(s):  
Liang Jin ◽  
M.M. Gupta
Keyword(s):  
Neural Networks ◽  
Discrete Time ◽  
Asymptotical Stability ◽  
Globally Asymptotical Stability ◽  
Analog Neural Networks

scholarly journals Stability of delay neural networks with uncertainties via delayed intermittent control

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Yujuan Tian ◽  
Fei Wang ◽  
Yao Wang ◽  
Xiaodi Li
Keyword(s):  
Neural Networks ◽  
Functional Method ◽  
Asymptotical Stability ◽  
Linear Matrix ◽  
Intermittent Control ◽  
Weighting Matrix ◽  
Control Scheme ◽  
Globally Asymptotical Stability ◽  
The Stability ◽  
Delay Dependent

Abstract In this paper, we investigate the stability of neural networks with both time-varying delays and uncertainties. A novel delayed intermittent control scheme is designed to ensure the globally asymptotical stability of the addressed system. Some new delay dependent sufficient criteria for globally asymptotical stability results are derived in term of linear matrix inequalities (LMIs) by using free-weighting matrix techniques and Lyapunov–Krasovskii functional method. Finally, a numerical simulation is provided to show the effectiveness of the proposed approach.

Asymptotical stability in discrete-time neural networks

2002 ◽  
Vol 49 (10) ◽  
pp. 1516-1520 ◽  
Author(s):  
Weirui Zhao ◽  
Wei Lin ◽  
Rongsong Liu ◽  
Jiong Ruan
Keyword(s):  
Neural Networks ◽  
Discrete Time ◽  
Asymptotical Stability

scholarly journals Single-Poly Floating-Gate Memory Cell Options for Analog Neural Networks

2021 ◽  
pp. 108062
Author(s):  
Maksym Paliy ◽  
Tommaso Rizzo ◽  
Piero Ruiu ◽  
Sebastiano Strangio ◽  
Giuseppe Iannaccone
Keyword(s):  
Neural Networks ◽  
Memory Cell ◽  
Floating Gate ◽  
Floating Gate Memory ◽  
Analog Neural Networks
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