Stability of high-order delayed Markovian jumping reaction-diffusion HNNs with uncertain transition rates
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Publication:2660359
DOI10.1016/j.amc.2020.125559OpenAlexW3080926701MaRDI QIDQ2660359
Chuntao Shao, Ma Suriguga, Xiangyong Chen, Yong-Gui Kao
Publication date: 30 March 2021
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2020.125559
exponential stabilityreaction-diffusionmean squareuncertain transition ratesMarkovian jumping Hopfield neural networks (HNNs)
Stability in context of PDEs (35B35) Reaction-diffusion equations (35K57) Jump processes on general state spaces (60J76)
Related Items (3)
\(H_\infty\) consensus for stochastic Markov jump multi-agent systems with imperfect time-varying transition probabilities and multiplicative noise ⋮ Fixed-time boundary stabilisation for delay reaction–diffusion systems ⋮ Stability analysis of switched stochastic delay system with unstable subsystems
Cites Work
- Switched model predictive control of switched linear systems: feasibility, stability and robustness
- Exponential stability of reaction-diffusion high-order Markovian jump Hopfield neural networks with time-varying delays
- Stochastic exponential stability of the delayed reaction-diffusion recurrent neural networks with Markovian jumping parameters
- Global exponential stability of reaction-diffusion cellular neural networks with S-type distributed time delays
- Transition probability bounds for the stochastic stability robustness of continuous- and discrete-time Markovian jump linear systems
- Global exponential stability of delayed Markovian jump fuzzy cellular neural networks with generally incomplete transition probability
- Exponential stability of delayed recurrent neural networks with Markovian jumping parameters
- Stabilization of hidden semi-Markov jump systems: emission probability approach
- Global asymptotic stability of high-order Hopfield type neural networks with time delays
- Global exponential robust stability of reaction-diffusion interval neural networks with time-varying delays
- Passive state estimation for fuzzy jumping neural networks with fading channels based on the hidden Markov model
- \(H_\infty\) controller design of networked control systems with a new quantization structure
- Reachable set estimation for Markov jump LPV systems with time delays
- Mittag-Leffler stability for a new coupled system of fractional-order differential equations with impulses
- \( \mathcal{H}_\infty\) performance for delayed singular nonlinear Markovian jump systems with unknown transition rates via adaptive control method
- Asynchronous dissipative filtering for nonlinear jumping systems subject to fading channels
- Design of robust nonfragile fault detection filter for uncertain dynamic systems with quantization
- Stability of Markovian jump systems with generally uncertain transition rates
- New delay-dependent stability of Markovian jump neutral stochastic systems with general unknown transition rates
- Stability and Stabilization of Discrete-Time Semi-Markov Jump Linear Systems via Semi-Markov Kernel Approach
- Stabilization of Singular Markovian Jump Systems With Generally Uncertain Transition Rates
- Necessary and Sufficient Conditions for Analysis and Synthesis of Markov Jump Linear Systems With Incomplete Transition Descriptions
- Optimal Persistent Monitoring Using Second-Order Agents With Physical Constraints
- Neural networks and physical systems with emergent collective computational abilities.
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