title: Improved delay-dependent stability of neutral type neural networks with distributed delays.
abstract: This paper deals with the problem of improved delay-dependent stability analysis of neutral type neural networks with distributed delays. These conditions are in terms of linear matrix inequality (LMI), easily checked by recently developed algorithms in solving linear matrix inequalities (LMIs). Finally, numerical examples demonstrate effectiveness of the proposed method.
authors.affiliation: Department of Automation Engineering Institute of Mechatronoptic System, Chienkuo Technology University, Changhua 500, Taiwan, ROC. Electronic address: lpl@cc.ctu.edu.tw.
authors.forename: Pin-Lin
authors.initials: PL
authors.lastname: Liu
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*
keywords: Delay-dependent; Distributed delay; Linear matrix inequality (LMI); Neural network; Neutral type