Improved stability criteria for the neural networks with time-varying delay via new augmented Lyapunov-Krasovskii functional
From MaRDI portal
Publication:2008922
DOI10.1016/j.amc.2018.12.026zbMath1428.34101OpenAlexW2908650617MaRDI QIDQ2008922
Publication date: 26 November 2019
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2018.12.026
Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20) Numerical methods for functional-differential equations (65L03)
Related Items (5)
Improvement of finite-time stability for delayed neural networks via a new Lyapunov-Krasovskii functional ⋮ Finite-time synchronisation of delayed fractional-order coupled neural networks ⋮ A nonsingular M-matrix-based global exponential stability analysis of higher-order delayed discrete-time Cohen-Grossberg neural networks ⋮ Reducing conservatism of stability criteria for linear systems with time-varying delay using an improved triple-integral inequality ⋮ Stability and stabilization of fractional-order non-autonomous systems with unbounded delay
Cites Work
- New and improved results on stability of static neural networks with interval time-varying delays
- Stability analysis of systems with time-varying delay via relaxed integral inequalities
- Estimating stable delay intervals with a discretized Lyapunov-Krasovskii functional formulation
- Reciprocally convex approach to stability of systems with time-varying delays
- Event-triggered \(H_\infty\) filtering of Markov jump systems with general transition probabilities
- Hierarchy of LMI conditions for the stability analysis of time-delay systems
- Further improvement of Jensen inequality and application to stability of time-delayed systems
- Stability analysis of static recurrent neural networks with interval time-varying delay
- Auxiliary function-based integral inequalities for quadratic functions and their applications to time-delay systems
- Stability analysis of continuous-time systems with time-varying delay using new Lyapunov-Krasovskii functionals
- 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
- Delay-dependent stability analysis of neural networks with time-varying delay: a generalized free-weighting-matrix approach
- Stability and dissipativity analysis of static neural networks with interval time-varying delay
- Global asymptotic stability analysis for delayed neural networks using a matrix-based quadratic convex approach
- A novel Lyapunov functional for stability of time-varying delay systems via matrix-refined-function
- Wirtinger-based integral inequality: application to time-delay systems
- Free-Matrix-Based Integral Inequality for Stability Analysis of Systems With Time-Varying Delay
- New Results on Output Feedback <formula formulatype="inline"> <tex Notation="TeX">$H_{\infty} $</tex></formula> Control for Linear Discrete-Time Systems
- Augmented Lyapunov functional and delay-dependent stability criteria for neutral systems
- Notes on Stability of Time-Delay Systems: Bounding Inequalities and Augmented Lyapunov-Krasovskii Functionals
- Reliable H ∞ static output control of linear time‐varying delay systems against sensor failures
- Stability of time-delay systems
- Nonlinear identification and control. A neural network approach
This page was built for publication: Improved stability criteria for the neural networks with time-varying delay via new augmented Lyapunov-Krasovskii functional
