[PDF] Top 20 Further analysis on stability of delayed neural networks via inequality technique
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Further analysis on stability of delayed neural networks via inequality technique
... such that Ω < 0 in Theorem 2.1, and that a = 10.2628 > 2.3814 = b. Also, we can compute that r = 1. Thus, by Theorem 2.1, the equilibrium point of (2.2) is globally exponentially stable with the approximate ... See full document
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Finite time anti synchronization of time varying delayed neural networks via feedback control with intermittent adjustment
... time-varying delayed neural ...an inequality technique and the Lyapunov stability theorem, the finite-time anti-synchroni- zation can be realized between the drive and response systems ... See full document
16
Further analysis of stability of uncertain neural networks with multiple time delays
... robust stability of uncertain neural networks with multiple time delays with respect to the class of nondecreasing activation ...asymptotic stability of the equilibrium point for ... See full document
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Stability Analysis for Uncertain Stochastic Delayed Neural Networks of Neutral-Type with Discrete and Distributed Delays
... global stability analysis for neural networks of neutral type with discrete and distributed delays has also received considerable attention; see for example, ...exponential stability of ... See full document
9
Robust stability analysis of quaternion valued neural networks via LMI approach
... robust stability problem of parametric uncertain QVNNs with both leak- age, discrete and distributed delays has been ...robust stability of the equilibrium point of the delayed ...modulus ... See full document
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Improved stability criteria for generalized neural networks with time varying delay by auxiliary function based integral inequality
... generalized neural networks (GNNs) model, which is a combination of local field neural networks (LFNNs) and static neural networks (SNNs), has received increasing at- tention in ... See full document
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Global Exponential Stability of Delayed Cohen Grossberg BAM Neural Networks with Impulses on Time Scales
... some analysis techniques, sufficient conditions are obtained for the existence, uniqueness, and global exponential stability of the equilibrium point of Cohen-Grossberg bidirectional associative memory BAM ... See full document
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Robust exponential stability analysis for delayed neural networks with time varying delay
... system analysis and consequently lead to a significant increase in the computational demand ...integral inequality approach (IIA) is an important research topic in the delay-dependent related problem and ... See full document
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Asymptotical Mean Square Stability of Cohen Grossberg Neural Networks with Random Delay
... mean-square stability analysis problem is considered for a class of Cohen- Grossberg neural networks CGNNs with random ...random delayed Cohen-Grossberg neural network is ... See full document
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Delay dependent exponential stability for Markovian jumping stochastic Cohen Grossberg neural networks with p Laplace diffusion and partially known transition rates via a differential inequality
... Cohen-Grossberg neural networks ...the stability of the neural networks, which is also a crucial feature in the design of the neural ...the stability analysis for ... See full document
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Global Asymptotic Stability for a New Class of Neutral Neural Networks
... of neural cells, many dynamic neural networks are described by neutral functional differential equations including neutral delay differential ...These neural networks are called neutral ... See full document
6
Dissipativity analysis and stabilization for discontinuous delayed complex valued networks via matrix measure method
... problems via matrix measure ...Halanay inequality, we analyze the dissipativity of the addressed discontinuous complex-valued neural networks by using two different ...exponential ... See full document
18
Algebraical criteria of stability for delayed memristive neural networks
... global stability for some types of memristive neurodynamic systems, such as fractional- order memristive neurodynamic systems [] and integral-order memristive neurodynamic systems [, –, ...the analysis ... See full document
12
Stability of delay neural networks with uncertainties via delayed intermittent control
... hybrid-coupled delayed dynamical ...al. further considered the stabilization and synchronization of chaotic systems with mixed time varying ...in neural networks because of the external ... See full document
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Identifying time-delayed gene regulatory networks via an evolvable hierarchical recurrent neural network
... Bayesian networks [16] and delayed differential equations [21] have been proposed to incorporate a fixed time delay in GRN ...Cellular Networks) has been proposed in ... See full document
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Periodic Solutions of Cohen Grossberg Type BAM Neural Networks with Time Varying Delays
... Exponential Stability of Periodic Solution to BAM Neural Networks with Periodic Coefficient and Continuously Distributed Delays,” Physics Letters A, ...and Stability for Co- ... See full document
5
Biperiodicity in neutral type delayed difference neural networks
... that neural networks with delays have a rich dynamical behavior that have been recently investigated by Huand and Li [1] and the references ...of neural networks ...the stability of ... See full document
15
Stability Analysis of Recurrent Neural Networks with Random Delay and Markovian Switching
... for the mathematical expectation operator with respect to the given probability measure P. In symmetric block matrices, we use an asterisk “∗” to represent a term that is induced by symmetry and diag{· · · } stands for a ... See full document
12
New Robust Stability of Uncertain Neutral-Type Neural Networks with Discrete Interval and Distributed Time-Varying Delays
... robust stability criterion for a class of uncertain neutral-type neural networks with discrete interval and distributed time-varying ...matrix inequality (LMI) approach and introducing some ... See full document
8
Synchronization analysis for stochastic reaction diffusion Cohen Grossberg neural networks with Neumann boundary conditions via periodically intermittent control
... τ ij ∗ (t) ≤ ∗ < for all t , that is, the time-varying delays were slowly varying delays. In fact, the continuous varying of delays may be slow or fast. Hence, these restrictions are un- necessary and impractical. ... See full document
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