Stochastic stability analysis for neutral-type Markov jump neural networks with additive time-varying delays via a new reciprocally convex combination inequality
DOI10.1080/00207721.2019.1586005zbMath1483.93699OpenAlexW2922423793MaRDI QIDQ5025936
Haiyang Zhang, Guanghao Jiang, Zhipeng Qiu, Liang-Lin Xiong
Publication date: 7 February 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2019.1586005
linear matrix inequalitiesstochastic stabilityadditive time-varying delaysreciprocally convex combination inequalityneutral-type Markov jump neural networks
Stochastic stability in control theory (93E15) Delay control/observation systems (93C43) Networked control (93B70)
Related Items (3)
Cites Work
- Unnamed Item
- Stability analysis for neutral Markovian jump systems with partially unknown transition probabilities
- Reciprocally convex approach to stability of systems with time-varying delays
- Improved stability and \(H_\infty\) performance for neutral systems with uncertain Markovian jump
- Stability of stochastic differential equations with Markovian switching
- Generalized reciprocally convex combination lemmas and its application to time-delay systems
- Admissibility and stabilization of stochastic singular Markovian jump systems with time delays
- Auxiliary function-based integral inequalities for quadratic functions and their applications to time-delay systems
- On stability criteria for neural networks with time-varying delay using Wirtinger-based multiple integral inequality
- An extended reciprocally convex matrix inequality for stability analysis of systems with time-varying delay
- An improved reciprocally convex inequality and an augmented Lyapunov-Krasovskii functional for stability of linear systems with time-varying delay
- \(H_\infty\) sliding mode control for uncertain neutral-type stochastic systems with Markovian jumping parameters
- A sliding mode approach to \(H_{\infty }\) synchronization of master-slave time-delay systems with Markovian jumping parameters and nonlinear uncertainties
- New reliable nonuniform sampling control for uncertain chaotic neural networks under Markov switching topologies
- Static output feedback control of nonhomogeneous Markovian jump systems with asynchronous time delays
- Stochastic switched sampled-data control for synchronization of delayed chaotic neural networks with packet dropout
- A sliding mode approach to \(H_\infty\) non-fragile observer-based control design for uncertain Markovian neutral-type stochastic systems
- Stability and robust stability for systems with a time-varying delay
- Stochastic stability and control
- Delay-dependent robust stabilization of uncertain state-delayed systems
- Linear Matrix Inequalities in System and Control Theory
- Nonfragile asynchronous control for uncertain chaotic Lurie network systems with Bernoulli stochastic process
- Notice of Violation of IEEE Publication Principles: Robust Delay-Dependent $H_{\infty}$ Control of Uncertain Time-Delay Systems With Mixed Neutral, Discrete, and Distributed Time-Delays and Markovian Switching Parameters
- Normalisation design for delayed singular Markovian jump systems based on system transformation technique
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