Intelligent adaptive identification for control systems: case studies

Abstract

An intelligent adaptive identification (IAI) approach is presented that primarily integrates expert systems technology with identification methodology for control systems. The concept of characteristic recognition is proposed in terms of qualitative and quantitative identifications. The IAI system is currently implemented in a Lisp based expert system shell for designs and analyses of control systems. In preliminary case studies, several proposals and suggestions are investigated in real-time intelligent control and the large-scale integrated intelligent control.<>