Application of Two-Stage Adaptive Decision Making System Based on Takagi-Sugeno Model for Scenario Selection in Rehabilitation Process

Abstract

This chapter focuses on selected problems of complex systems identification. The first part of the chapter is devoted to identification problems in general. The tasks of determination of the plant parameters and choice of the best model are given. Then, authors describe problems of complex systems, i.e.: identification with use of limited measurements, global identification and two-stage identification. The last one is presented in details. In order to illustrate proposed methods, an adaptive system with two-stage identification and its application to biomedical problem is presented.