Results 261 to 270 of about 7,728,347 (284)
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Global Asymptotic Stabilization of Feedforward Systems With Delay in the Input
IEEE Transactions on Automatic Control, 2004The problem of globally uniformly asymptotically and locally exponentially stabilizing a family of nonlinear feedforward systems when there is a delay in the input is solved. No limitation on the size of the delay is imposed. Explicit expressions of bounded control laws are determined.
Frédéric Mazenc +2 more
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GLOBAL ASYMPTOTIC STABILITY OF A CLASS OF DYNAMICAL NEURAL NETWORKS
International Journal of Neural Systems, 2003The dynamics of cortical cognitive maps developed by self–organization must include the aspects of long and short–term memory. The behavior of the network is such characterized by an equation of neural activity as a fast phenomenon and an equation of synaptic modification as a slow part of the neural biologically relevant system.
Anke Meyer-Bäse, Sergei S. Pilyugin
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ON THE GLOBAL ASYMPTOTIC STABILITY ANALYSIS OF DELAYED NEURAL NETWORKS
International Journal of Bifurcation and Chaos, 2005In this paper, the problem of the global asymptotic stability (GAS) of a class of delayed neural network is investigated. Under the generalization of dropping the boundedness and differentiability hypotheses for activation functions, using some existing results for the existence and uniqueness of the equilibrium point, we obtain a couple of general ...
Zhaohui Yuan +3 more
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Global Asymptotic Stability of Delayed Cellular Neural Networks
IEEE Transactions on Neural Networks, 2007A new criterion for the global asymptotic stability of the equilibrium point of cellular neural networks with multiple time delays is presented. The obtained result possesses the structure of a linear matrix inequality and can be solved efficiently using the recently developed interior-point algorithm.
Huaguang Zhang, Zhanshan Wang 0001
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Almost everywhere global asymptotic stability†
International Journal of Control, 1970A new type of global stability property, called ‘almost everywhere global asymptotic (a.e.g.a.) stability) is introduced Roughly speaking, a dynamical system is said to be a.e.g.a. stable if only a finite number of its trajectories do not tend to the origin of the state space as time tends to infinity.
R. J. P. DE FIGUEIREDO, J. A. DUTERTBE
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Global Asymptotic and Robust Stability of Inertial Neural Networks With Proportional Delays
Neurocomputing, 2018Haijun Jiang +2 more
exaly
An Analysis of Global Asymptotic Stability of Delayed Cellular Neural Networks
IEEE Transactions on Neural Networks, 2002Sabri Arık
exaly
Global Asymptotic Stability of a Larger Class of Neural Networks With Constant Time Delay
Physics Letters, Section A: General, Atomic and Solid State Physics, 2003Sabri Arık
exaly
IEEE Transactions on Circuits and Systems Part 2: Express Briefs, 2005
Jun Wang, Zhigang Zeng, Xiaoxin Liao
exaly
Jun Wang, Zhigang Zeng, Xiaoxin Liao
exaly
Global Asymptotic Stability of Delayed Bi-Directional Associative Memory Neural Networks
Applied Mathematics and Computation, 2003Jinde Cao
exaly

