Non-fragile mixed passive and \(\mathcal{H}_\infty\) state estimation for singularly perturbed neural networks with semi-Markov jumping parameters
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Publication:776098
DOI10.1016/j.jfranklin.2020.03.031zbMath1441.93305OpenAlexW3015986591MaRDI QIDQ776098
Publication date: 30 June 2020
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.03.031
Estimation and detection in stochastic control theory (93E10) (H^infty)-control (93B36) Time-scale analysis and singular perturbations in control/observation systems (93C70) Networked control (93B70)
Related Items (11)
Finite-time passivity for Atangana-Baleanu-Caputo fractional-order systems with nonlinear perturbations ⋮ On event‐triggered guaranteed cost control for discrete‐time semi‐Markovian neural networks having communication delays and dual‐terminal probabilistic faults ⋮ Dissipativity-based asynchronous fault detection for T-S fuzzy nonlinear Markov jump systems subject to uncertain probabilities ⋮ Finite-time sliding mode control for singularly perturbed PDE systems ⋮ Unified synchronization and fault‐tolerant anti‐disturbance control for synchronization of multiple memristor‐based neural networks ⋮ Stability of T-S fuzzy system under non-fragile sampled-data \(H_\infty\) control using augmented Lyapunov-Krasovskii functional ⋮ Adaptive fixed-time synchronization of stochastic memristor-based neural networks with discontinuous activations and mixed delays ⋮ Nonfragile peak-to-peak filtering for discrete-time Takagi-Sugeno fuzzy systems with dynamic quantizations ⋮ Admissibility analysis and passive output feedback control for one-sided Lipschitz nonlinear singular Markovian jump systems with uncertainties ⋮ Finite-time asynchronous state estimation for jump systems with partial transition probabilities via redundant channels: a co-design method ⋮ Adaptive non-fragile sliding mode control for switched semi-Markov jump system with time-delay and attack via reduced-order method
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