Results 251 to 260 of about 839,853 (312)
Circuits, Systems, and Signal Processing, 2011 Fuzzy cellular neural network (FCNN) structures are based on the uncertainties in human cognitive processes and in modeling neural systems, and they provide an interface between a human expert and classical cellular neural networks (CNNs). In this paper, an existence and global asymptotic stability analysis of the equilibrium point of FCNNs with time ...
P. Balasubramaniam +2 more
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Distributed-delay-dependent exponential stability of impulsive neural networks with inertial term
Neurocomputing, 2018 Abstract Global exponential stability problem of impulsive inertial neural networks with time-varying discrete-delay and distributed-delay is considered in the present paper. Lyapunov–Krasovskii functional and differential inequality for delay differential equations are employed to investigate the stability of the inertial neural networks.
Tian-Hu Yu +3 more
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Mathematical Methods in the Applied Sciences, 2020 In this work, we consider a linear thermoelastic laminated timoshenko beam with distributed delay, where the heat conduction is given by cattaneoâs law. we establish the well posedness of the system. For stability results, we prove exponential and polynomial stabilities of the system for the cases of equal and nonequal speeds of wave propagation.
Abdelbaki Choucha +2 more
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Analysis, 2007 SummaryIn this paper, we investigate the oscillation of certain even-order neutral differential equations with distributed delay and damping term, and obtain several classes of sufficient conditions for the oscillation of all of its solutions, which generalize some known results. We also give some examples to illustrate the applicability of our results.
Da-Xue Chen, Shuqing Zhou, Yuhua Long
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The long-term distribution of differential group delay in a recirculating loop
Technical Digest: Symposium on Optical Fiber Measurements, 2004., 2004It is well known that the distribution of differential group delay (DGD) in a straight-line optical fiber transmission system is a Maxwellian when the fiber realization drifts ergodically and the fiber is statistically homogeneous [I].
Hai Xu +5 more
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Exponential convergence for HRNNs with continuously distributed delays in the leakage terms
Neural Computing and Applications, 2012This paper considers exponential convergence for a class of high-order recurrent neural networks (HRNNs) with continuously distributed delays in the leakage terms (i.e., “leakage delays”). Without assuming the boundedness on the activation functions, some sufficient conditions are derived to ensure that all solutions of this system converge ...
Mingquan Yang, Zhibin Chen
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A new delay distribution model to take long-term degradation into account
2013 IEEE 4th Latin American Symposium on Circuits and Systems (LASCAS), 2013The long-term degradation due to aging such as NBTI (Negative Bias Temperature Instability) is a hot issue in the current circuit design using nanometer process technologies, since it causes a delay fault in the field. In order to resolve the problem, we must estimate delay variation caused by long-term degradation in design stage, but over estimation ...
Shuji Tsukiyama +2 more
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Neural Processing Letters, 2015
In this paper, a reaction-diffusion neural network with time delay in leakage terms and distributed synaptic transmission delays under homogeneous Neumann boundary conditions is investigated. By analyzing the corresponding characteristic equation, the local stability of the trivial uniform steady state and the existence of Hopf bifurcation are ...
Rui Xu, Xiaohong Tian
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In this paper, a reaction-diffusion neural network with time delay in leakage terms and distributed synaptic transmission delays under homogeneous Neumann boundary conditions is investigated. By analyzing the corresponding characteristic equation, the local stability of the trivial uniform steady state and the existence of Hopf bifurcation are ...
Rui Xu, Xiaohong Tian
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Nonlinear Analysis: Real World Applications, 2007
In this paper, the periodic oscillatory solution and stability are investigated for a class of bidirectional associative memory neural networks with distributed delays and reaction–diffusion terms. By constructing a new Lyapunov functional, applying M-matrix theory and inequality technique, several novel sufficient conditions are derived to ensure the ...
Qiankun Song, Jinde Cao
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In this paper, the periodic oscillatory solution and stability are investigated for a class of bidirectional associative memory neural networks with distributed delays and reaction–diffusion terms. By constructing a new Lyapunov functional, applying M-matrix theory and inequality technique, several novel sufficient conditions are derived to ensure the ...
Qiankun Song, Jinde Cao
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Neurocomputing, 2010
In this paper, the boundedness and exponential stability for nonautonomous fuzzy cellular neural networks (FCNNs) with distributed delays and reaction-diffusion terms are investigated. By constructing suitable Lyapunov functional, introducing ingeniously some real parameters and applying the elementary inequality, we establish a series of criteria on ...
Shuyun Niu, Zhidong Teng, Haijun Jiang
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In this paper, the boundedness and exponential stability for nonautonomous fuzzy cellular neural networks (FCNNs) with distributed delays and reaction-diffusion terms are investigated. By constructing suitable Lyapunov functional, introducing ingeniously some real parameters and applying the elementary inequality, we establish a series of criteria on ...
Shuyun Niu, Zhidong Teng, Haijun Jiang
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