On identification of random systems

Motivated by identification problems in biological and social sciences, this paper considers the identification of systems having inherently random parameters. Identification algorithms are presented for a class of non-linear regression models and differential systems having random coefficients. The results reveal the significant conceptual and computational differences that exist between deterministic and random identification procedures.