Improved asymptotic stability analysis for uncertain delayed state neural networks
From MaRDI portal
Publication:711876
DOI10.1016/j.chaos.2007.01.110zbMath1197.93137OpenAlexW1967021922MaRDI QIDQ711876
Fernando O. Souza, Reinaldo M. Palhares, Petr Ya. Ekel
Publication date: 28 October 2010
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.chaos.2007.01.110
Stabilization of systems by feedback (93D15) Neural networks for/in biological studies, artificial life and related topics (92B20)
Related Items (9)
Direct delay decomposition approach to synchronization of chaotic fuzzy cellular neural networks with discrete, unbounded distributed delays and Markovian jumping parameters ⋮ Novel global robust stability criterion for neural networks with delay ⋮ Novel stability criteria for uncertain delayed Cohen-grossberg neural networks using discretized Lyapunov functional ⋮ Novel stability criterion for cellular neural networks: an improved Gu's discretized LKF approach ⋮ Novel passivity criteria for neural networks with discrete and unbounded distributed time-varying delays ⋮ Global asymptotic stability of BAM fuzzy cellular neural networks with time delay in the leakage term, discrete and unbounded distributed delays ⋮ Further results for robust stability of cellular neural networks with linear fractional uncertainty ⋮ A systematic approach to improve multiple Lyapunov function stability and stabilization conditions for fuzzy systems ⋮ A new discretized Lyapunov-Krasovskii functional for stability analysis and control design of time-delayed TS fuzzy systems
Cites Work
- Delay-dependent robust \(H_{\infty}\) control of uncertain linear systems with time-varying delays
- On global stability criterion for neural networks with discrete and distributed delays
- On the global convergence of a class of functional differential equations with applications in neural network theory
- Global robust stability of delayed recurrent neural networks
- Delay-dependent exponential stability of cellular neural networks with time-varying delays
- Stability and bifurcation in a neural network model with two delays.
- Asymptotic stability analysis in uncertain multi-delayed state neural networks via Lyapunov-Krasovskii theory
- Improved global robust stability criterion for delayed neural networks
- A general framework for global asymptotic stability analysis of delayed neural networks based on LMI approach
- Simplified LMI condition for global asymptotic stability of delayed neural networks
- Almost Kenmotsu 3−h -manifolds with cyclic-parallel Ricci tensor
- Discretized LMI set in the stability problem of linear uncertain time-delay systems
- Descriptor discretized Lyapunov functional method: analysis and design
- An estimation of upperbound of delays for global asymptotic stability of delayed Hopfield neural networks
- Neural networks and physical systems with emergent collective computational abilities.
- Stability of time-delay systems
This page was built for publication: Improved asymptotic stability analysis for uncertain delayed state neural networks
