NONLINEAR SYSTEMS IDENTIFICATION AND OPTIMIZATION

Abstract

The rapid increase in the complexity of the modern technology, whether industrial, military applications or space progran,es, has placed severe strains on the control systems which invariably form the central core, The study of nonlinear control systems has assumed added importance in view of the high accuracy demanded and the fact that, strictly speaking, all physical systems are inherently nonlinear. The need for an insight into the controlled processes in all possible parameteric changes during operat-ion and subsequent adaptation has led to the use and deve-lopment of self adaptive control systems. The crucial problem in nonlinear adaptive systems is the identification of process characteristics, This dissertation presents a procedure by which a nonlinear system belonging to class Y1 defined by Zadeh can be characterized and a model 6£ the system can be constru-cted. This model is then used in the operation of a para-meter tracking servo and for the model reference adaptive systems. This work concludes with some suggestions for further research work in this direction.