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Stabilization of Delayed Neural Networks

2005 IEEE International Conference on Systems, Man and Cybernetics, 2006
Stability analysis of delayed neural networks has been extensively developed recently. As a continuation of their previous results, in this paper, the authors propose a new methodology for the stabilization of such networks. The approach is based on the inverse optima control technique, which has been introduced to nonlinear system in the last decade ...
E.N. Sanchez, J.P. Perez, J. Perez
openaire   +1 more source

Time-delay optical neural network

SPIE Proceedings, 1998
An efficient optical architecture for implementing a time delay optical neural network utilizing acoustooptic devices, scrolling CCD detector arrays, and photorefractive weight storage is presented.
Paulo E. X. Silveira, Kelvin H. Wagner
openaire   +1 more source

Stability Analysis of Delayed Neural Networks via a Time-Varying Lyapunov Functional

IEEE Transactions on Systems, Man, and Cybernetics: Systems
This article concerns the stability issues of neural networks with time-varying delays. The purpose is to establish less conservative stability conditions for delayed neural networks.
Huichao Lin   +3 more
semanticscholar   +1 more source

Stability Analysis for Delayed Neural Networks via Some Switching Methods

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020
In this paper, the stability problem of delayed neural networks is investigated by adopting some switching methods. First, the delay interval is divided into many smaller variable intervals, and when the smaller variable interval is regarded as a mode of
Xu Li, Rui Wang, Bin Yang, Wei Wang
semanticscholar   +1 more source

Harmless delays in Cohen–Grossberg neural networks

Physica D: Nonlinear Phenomena, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Lin, Zou, Xingfu
openaire   +2 more sources

Stability analysis of delayed cellular neural networks

Neural Networks, 1998
In this paper, the problems of stability in a class of delayed cellular neural networks (DCNN) are studied; some new stability criteria are obtained by using the Lyapunov functional method and some analysis techniques. These criteria can be used to design globally stable networks and thus have important significance in both theory and application.
Jinde, Cao, Dongming, Zhou
openaire   +2 more sources

RTL Delay Prediction Using Neural Networks

2021 IEEE Nordic Circuits and Systems Conference (NorCAS), 2021
Nowadays, the digital chip design flow starts with formal specifications, which are mapped to Register Transfer Level (RTL) models using different underlying implementation variants and (micro-) architectures. By doing so, a hardware designer predicts and resolves time-critical parts to achieve an RTL-design that intentionally meets all constraints ...
Daniela Sanchez Lopera   +4 more
openaire   +1 more source

Stability Analysis for Delayed Neural Networks via Improved Auxiliary Polynomial-Based Functions

IEEE Transactions on Neural Networks and Learning Systems, 2019
This brief is concerned with stability analysis for delayed neural networks (DNNs). By establishing polynomials and introducing slack variables reasonably, some improved delay-product type of auxiliary polynomial-based functions (APFs) is developed to ...
Zhichen Li   +4 more
semanticscholar   +1 more source

Fixed-time pinning-controlled synchronization for coupled delayed neural networks with discontinuous activations

Neural Networks, 2019
This paper deals with the fixed-time synchronization problem of coupled delayed neural networks with discontinuous activations. Based on pinning control, a discontinuous controller is firstly proposed to guarantee that coupled neural networks achieve ...
Hui Lü, Wangli He, Q. Han, Chen Peng
semanticscholar   +1 more source

Finite time stabilization of delayed neural networks

Neural Networks, 2015
In this paper, the problem of finite time stabilization for a class of delayed neural networks (DNNs) is investigated. The general conditions on the feedback control law are provided to ensure the finite time stabilization of DNNs. Then some specific conditions are derived by designing two different controllers which include the delay-dependent and ...
Wang, Leimin, Shen, Yi, Ding, Zhixia
openaire   +2 more sources

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