Reduced order modeling of uncertain systems by pole clustering technique using genetic algorithm

A mixed method is proposed for the order reduction
of an interval system using pole clustering technique and simple
mathematical manipulation process. kharitonov polynomial is
employed in the interval system before the model order reduction
technique is come into the approximation process. The pole
clustering technique is used to obtain the reduced order
denominator polynomial and the corresponding numerator
polynomial is obtained through cross multiplication of transfer
function polynomials. Genetic Algorithm is employed in the
model order reduction process by which reduced order system
parameters can be adjusted. The stability of the interval system is
analyzed through the Routh-Hurwitz stability criterion.