Parameter estimation of nonlinear systems in noisy environments using genetic algorithms

Traditional approaches for parameter estimation have difficulty with both nonlinear systems and with systems in noisy environments. In this paper we explore the use of genetic algorithms as the key search procedure of a methodology for estimating the parameters of discrete time nonlinear systems in noisy environments. Examples are presented to illustrate the effectiveness of the proposed approach.