Further results on event-triggered \(H_\infty\) networked control for neural networks with stochastic cyber-attacks
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Publication:2656667
DOI10.1016/j.amc.2020.125431zbMath1497.93228OpenAlexW3043565705MaRDI QIDQ2656667
Zongying Feng, Hanyong Shao, Lin Shao
Publication date: 16 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.2020.125431
neural networks\(H_\infty\) performancemean-square stableevent-triggered schemestochastic cyber-attacks
Perturbations in control/observation systems (93C73) (H^infty)-control (93B36) Stochastic stability in control theory (93E15)
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Cites Work
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- Reciprocally convex approach to stability of systems with time-varying delays
- Extended dissipativity-based synchronization of uncertain chaotic neural networks with actuator failures
- Finite time stabilization of delayed neural networks
- Event-triggered sampling control for stability and stabilization of memristive neural networks with communication delays
- New stability results for delayed neural networks
- A survey on recent advances in event-triggered communication and control
- Decentralized event-triggered \(H_\infty\) control for neural networks subject to cyber-attacks
- Sampled-data synchronization of chaotic Lur'e systems via an adaptive event-triggered approach
- Event-triggered resilient control for cyber-physical systems under asynchronous DoS attacks
- Distributed event-triggered control for networked control systems with stochastic cyber-attacks
- \(H_\infty\) performance state estimation of delayed static neural networks based on an improved proportional-integral estimator
- Finite-time synchronization control for uncertain Markov jump neural networks with input constraints
- Hybrid-driven-based \(H_{\infty}\) filter design for neural networks subject to deception attacks
- On the Performance Analysis of Resilient Networked Control Systems Under Replay Attacks
- Implementation of Memristive Neural Network With Full-Function Pavlov Associative Memory
- A Novel Event-Triggered Transmission Scheme and <formula formulatype="inline"><tex Notation="TeX">${\cal L}_{2}$</tex></formula> Control Co-Design for Sampled-Data Control Systems
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