Studies on stability passivity and Dissipativity analysis of neural Networks with time varying delays

Abstract

The proposed thesis work deals with the problem of studies on newlineStability passivity and dissipativity analysis of neural networks with timevarying newlineDelays A new set of sufficient conditions are derived to obtain the newlineStability passivity and dissipativity of such networks More precisely we study newlinethe design of robust controller on stabilization of stochastic neural networks with newlinetime varying delays Nextly the problem of exponential stability for stochastic newlinedelayed recurrent neural networks with mixed time varying delays and impulses newlinethe continuous time case has been investigated Further we have developed the newlinedynamic analysis of discrete time BAM neural networks with stochastic newlineperturbations and impulses Moreover the problem of passivity analysis for newlineuncertain discrete time stochastic BAM neural networks with time varying newlinedelays has been discussed Furthermore the problem of dissipativity of discretetime newlineBAM stochastic neural networks with Markovian switching and impulses newlinehave been established newline newline