State estimation of static neural networks with interval time-varying delays and sampled-data control
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Publication:2313851
DOI10.1007/s40314-017-0470-9zbMath1438.93151OpenAlexW2726422515MaRDI QIDQ2313851
Publication date: 23 July 2019
Published in: Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40314-017-0470-9
Sampled-data control/observation systems (93C57) Asymptotic stability in control theory (93D20) Delay control/observation systems (93C43) Networked control (93B70)
Related Items (7)
Robust exponential stabilization of delayed neural networks with external disturbance via extended reciprocally convex matrix inequality ⋮ Exponential Lagrangian stability and stabilization of memristor-based neural networks with unbounded time-varying delays ⋮ Novel results on global stability analysis for multiple time-delayed BAM neural networks under parameter uncertainties ⋮ New criteria for dissipativity analysis of fractional-order static neural networks ⋮ Global stability analysis of neural networks with constant time delay via Frobenius norm ⋮ Exact Takagi-Sugeno descriptor models of recurrent high-order neural networks for control applications ⋮ A dynamic event-triggeredH∞control for singular Markov jump systems with redundant channels
Cites Work
- Stability analysis of static recurrent neural networks using delay-partitioning and projection
- Reciprocally convex approach to stability of systems with time-varying delays
- Delay-range-dependent stability for systems with time-varying delay
- Stability analysis of static recurrent neural networks with interval time-varying delay
- Sampled-data state estimation for Markovian jumping fuzzy cellular neural networks with mode-dependent probabilistic time-varying delays
- Robust sampled-data \(H_\infty \) control with stochastic sampling
- Improved delay-range-dependent stability criteria for linear systems with time-varying delays
- A comparative study of two modeling approaches in neural networks
- State estimation of T-S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control
- Improved criteria for sampled-data synchronization of chaotic Lur'e systems using two new approaches
- Sampled-data state estimation for delayed neural networks with Markovian jumping parameters
- H∞ state estimation of generalised neural networks with interval time-varying delays
- Linear Matrix Inequalities in System and Control Theory
- Improved asymptotical stability criteria for static recurrent neural networks
- Stabilization of Sampled-Data Control Systems With Control Inputs Missing
- Stability Analysis of Sampled-Data Systems via Free-Matrix-Based Time-Dependent Discontinuous Lyapunov Approach
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