A Survey of Knowledge-Based Systems for Computer-Aided Control System Design
John R. James · American Control Conference · 1987
During the last few years several knowledge-based systems for Computer-Aided Control System Design (CACSD) have been built. This paper provides a review of those artificial intelligence (AI) programming techniques which support the construction of these knowledge-based systems, surveys some of the systems built thus far, and comments on the characteristics that one should require of software tools in order to build a knowledge-based system for control system design. Section 1 introduces the subject. Section 2 reviews the data structures (knowledge bases) which store the symbolic data used by the various inference mechanisms. Section 3 surveys knowledge-based systems for computer-aided control system design. Section 4 comments on capabilities of expert system programming environments for CACSD and the paper is concluded in Section 5.