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Quasi-bipartite synchronization of signed delayed neural networks under impulsive effects

Neural Networks, 2020
This paper mainly studies quasi-bipartite synchronization (QBPS) of signed delayed neural networks (SDNNs) under impulsive effects, in which the nodes have cooperative as well as antagonistic interactions.
Guohong Mu, Lulu Li, Xiaodi Li
semanticscholar   +1 more source

Delay-Dependent State Estimation for Delayed Neural Networks

IEEE Transactions on Neural Networks, 2006
In this letter, the delay-dependent state estimation problem for neural networks with time-varying delay is investigated. A delay-dependent criterion is established to estimate the neuron states through available output measurements such that the dynamics of the estimation error is globally exponentially stable. The proposed method is based on the free-
He, Y., Wang, Q.-G., Wu, M., Lin, C.
openaire   +2 more sources

New optimal method for L2-L∞ state estimation of delayed neural networks

Neurocomputing, 2020
This proposal considers the issue of L 2 - L ∞ state estimation for delayed neural networks. A novel Lyapunov-Krasovskii functional is constructed, which contains augmented s-dependent integral and multiple integral terms.
W. Qian   +3 more
semanticscholar   +1 more source

Pinning synchronization of delayed neural networks

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2008
This paper investigates adaptive pinning synchronization of a general weighted neural network with coupling delay. Unlike recent works on pinning synchronization which proposed the possibility that synchronization can be reached by controlling only a small fraction of neurons, this paper aims to answer the following question: Which neurons should be ...
Zhou, J, Wu, X, Yu, W, Small, M, Lu, JA
openaire   +3 more sources

Stability criteria of quaternion-valued neutral-type delayed neural networks

Neurocomputing, 2020
Stability problem of quaternion-valued neutral-type delayed neural networks (QVNTDNNs) is researched in this paper. By utilizing homeomorphism principle, matrix inequality technique and Lyapunov method, both delay-independent and delay-dependent ...
Q. Song   +4 more
semanticscholar   +1 more source

Stability Analysis for Delayed Neural Networks With an Improved General Free-Matrix-Based Integral Inequality

IEEE Transactions on Neural Networks and Learning Systems, 2020
This paper revisits the problem of stability analysis for neural networks with a time-varying delay. An improved general free-matrix-based (FMB) integral inequality is proposed with an undetermined number $m$ .
Jun Chen, Ju H. Park, Shengyuan Xu
semanticscholar   +1 more source

Master–Slave Synchronization of Delayed Neural Networks With Time-Varying Control

IEEE Transactions on Neural Networks and Learning Systems, 2020
This brief investigates the master–slave synchronization problem of delayed neural networks with general time-varying control. Assuming a linear feedback controller with time-varying control gain, the synchronization problem is recast into the stability ...
Q. Jia, E. S. Mwanandiye, W. Tang
semanticscholar   +1 more source

Bipartite synchronization in coupled delayed neural networks under pinning control

Neural Networks, 2018
This paper considers the bipartite leader-following synchronization in a signed network composed by an array of coupled delayed neural networks by utilizing the pinning control strategy and M-matrix theory, where the communication links between ...
Fang Liu   +4 more
semanticscholar   +1 more source

Complete Stability in Multistable Delayed Neural Networks

Neural Computation, 2009
We investigate the complete stability for multistable delayed neural networks. A new formulation modified from the previous studies on multistable networks is developed to derive componentwise dynamical property. An iteration argument is then constructed to conclude that every solution of the network converges to a single equilibrium as time tends to ...
Cheng, Chang-Yuan, Shih, Chih-Wen
openaire   +2 more sources

Pinning synchronization of coupled fractional-order time-varying delayed neural networks with arbitrary fixed topology

Neurocomputing, 2020
This paper is concerned with pinning synchronization of coupled fractional-order time-varying delayed neural networks. For an arbitrary fixed topology, an effective control law is introduced to select the pinned nodes, under which several sufficient ...
Peng Liu   +4 more
semanticscholar   +1 more source

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