Stability Analysis of Delayed System with Markovian Jumping

Abstract

In this thesis stability problem is investigated using delayed Markovian jumping neural newlinenetworks, a class for neural networks, Complex networks are built with Markovian jump newlineparameters and time-varying delays. For the concerns outlined above, creating suitable newlineLyapunov-Krasovskii functional yields acceptable delay-dependent stability conditions. newlineThe control technique isused to determine stabilisation conditions for neural networks by newlinecreating appropriate controller gain matrices. Less conservative stability criterions are newlineobtained to the above mentioned problems, by using various techniques such as freeweighting newlinematrix, augmented LKF approach, Jensen s Inequality and Newton-Leibnitz newlineformula. To demonstrate the efficacy of the proposed methodologies, numerical newlinecomputations are provided. The outcomes are compared to past outcomes to show that newlinethey are less cautious newline