Linear matrix inequality optimization approach to exponential robust filtering for switched Hopfield neural networks
type: Item
instance of: scholarly article
title: Linear matrix inequality optimization approach to exponential robust filtering for switched Hopfield neural networks
zbMATH Open document ID: 1256.93103
author: Choon Ki Ahn
published in: Journal of Optimization Theory and Applications
publication date: 2013-02-11T00:00:00Z
Mathematics Subject Classification ID: 93E11
Mathematics Subject Classification ID: 93D05
zbMATH DE Number: 6135553
zbMATH Keywords: \(\mathcal{H}_{\infty}\) filtering
zbMATH Keywords: switched systems
zbMATH Keywords: exponential stability
zbMATH Keywords: Hopfield neural networks
zbMATH Keywords: linear matrix inequality (LMI)
zbMATH Keywords: Lyapunov-Krasovskii stability theory
describes a project that uses: LMI toolbox
MaRDI profile type: Publication
full work available at URL: s10957-012-0008-7
OpenAlex ID: W2044683204
cites work: Neurons with graded response have collective computational properties like those of two-state neurons.
cites work: Robust stability analysis of switched Hopfield neural networks with time-varying delay under uncertainty
cites work: An \(\mathcal H_{\infty}\) approach to stability analysis of switched Hopfield neural networks with time-delay
cites work: State estimation for jumping recurrent neural networks with discrete and distributed delays
cites work: Q4003661
cites work: Stabilization of a class of distributional convolution equations
cites work: Delay-dependent robust stability criteria for uncertain neutral systems with mixed delays
cites work: Delay-dependent criteria for robust stability of time-varying delay systems
DOI: 10.1007/S10957-012-0008-7
description: scientific article; zbMATH DE number 6135553