Linear system model reduction using Genetic algorithm

Abstract

newlineStability is an important property to be possessed by every system newlineSince most of the systems are non linear in nature the analysis about the newlinestability of a system can be acquired by employing suitable linearised models newlineThe stability analysis of linear time invariant systems given in the form of newlinecharacteristic equation can be performed using algebraic or graphical method newlineThe characteristic equation is one kind of time invariant model Even linear newlinemodels may need further simplification to enable feasible analysis Model newlinereduction technique is used for this purpose All model reduction techniques newlineaim to provide a lower order model that will mimic the characteristics of the newlinegiven higher order system Also the design of controllers and observers for newlinehigher order linear time invariant system involves large computational newlineburden which can be minimized with the help of suitable reduced order newlinemodels newline