Abstract
An application of the immune based evolutionary computation to time varying system identification is considered. Antibodies and antigens are referred as the model candidates and the obtained data set, respectively. Then, the density of the antibodies is introduced based on Kullback information and the model candidates are updated step by step. Some numerical studies are carried out to illustrate the applicability of the proposed algorithm.