Investigation of different approaches for identification and control of complex and nonlinear systems using neural networks

System identification deals with the problem of building mathematical models of dynamical systems based on obseved data from the systems .Most of the conventional techniques of system identification, in general, require some amount of a priori knowledge about the steucture of the systems.Also, thye are only useful either with linear or linearzed systems.