Stability analysis of Markovian jumping impulsive stochastic delayed RDCGNNs with partially known transition probabilities
DOI10.1186/s13662-015-0386-xzbMath1345.92018OpenAlexW2170834638WikidataQ59435625 ScholiaQ59435625MaRDI QIDQ738751
Publication date: 5 September 2016
Published in: Advances in Difference Equations (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13662-015-0386-x
asymptotical stabilityimpulsiveMarkovian jumpmixed time delaysstochastic reaction-diffusion neural networks
Stability in context of PDEs (35B35) Neural networks for/in biological studies, artificial life and related topics (92B20) Impulsive partial differential equations (35R12)
Related Items (2)
Cites Work
- Unnamed Item
- Delay-dependent robust exponential stability of Markovian jumping reaction-diffusion Cohen-Grossberg neural networks with mixed delays
- Stability criteria for impulsive reaction-diffusion Cohen-Grossberg neural networks with time-varying delays
- Mean square exponential stability of stochastic neural networks with reaction-diffusion terms and delays
- On the stability of the stochastic parabolic Itô equation with delay and Markovian jump
- Stabilization for Markovian jump systems with partial information on transition probability based on free-connection weighting matrices
- Exponential stability for stochastic reaction-diffusion BAM neural networks with time-varying and distributed delays
- Stochastic exponential stability of the delayed reaction-diffusion recurrent neural networks with Markovian jumping parameters
- Stochastic stability analysis for delayed neural networks of neutral type with Markovian jump parameters
- Dynamical behaviors of reaction-diffusion fuzzy neural networks with mixed delays and general boundary conditions
- Two and three-dimensional intrusion object detection under randomized scheduling algorithms in sensor networks
- Stability analysis of impulsive Cohen-Grossberg neural networks with distributed delays and reaction-diffusion terms
- Global exponential stability of Hopfield reaction-diffusion neural networks with time-varying delays
- Global exponential stability of impulsive Cohen-Grossberg neural network with time-varying delays
- Impulsive control for a class of neural networks with bounded and unbounded delays
- Convergence dynamics of stochastic reaction-diffusion recurrent neural networks with continuously distributed delays
- Decentralized adaptive stabilization of interconnected nonlinear systems with unknown non-symmetric dead-zone inputs
- Stability in asymmetric Hopfield nets with transmission delays
- 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
- Adaptive synchronization of the stochastic delayed RDNNs with unknown time-varying parameters
- Pinning adaptive synchronization analysis of linearly coupled delayed RDNNs with unknown time-varying coupling strengths
- Impulsive delay differential inequality and stability of neural networks
- Stability of impulsive neural networks with time delays
- Further note on global exponential stability of uncertain cellular neural networks with variable delays
- Exponential stability of stochastic reaction-diffusion Cohen-Grossberg neural networks with delays
- ATTRACTORS FOR PARAMETRIC DELAY DIFFERENTIAL EQUATIONS AND THEIR CONTINUOUS BEHAVIOR
- Linear Matrix Inequalities in System and Control Theory
- Analysis and design of impulsive control systems
This page was built for publication: Stability analysis of Markovian jumping impulsive stochastic delayed RDCGNNs with partially known transition probabilities
