Expert and knowledge-based systems have great potential for industrial
control systems, particularly in the process industries. Recognising the
importance of this emerging area, the Institution of Electrical
Engineers organised a Vacation School on the subject, for engineers from
industry and academia, at the University of Strathclyde in September
1990.
The course and this resulting text cover four main issues: the
background of knowledge-based control, artificial intelligence,
applications of knowledge expertise, and deductive control.
The background material presents knowledge based control from the
perspective of Systems Engineering and Information Technology. When
combined with an introduction to both artificial intelligence and fuzzy
logic, a firm foundation is laid for consolidation of the later material
of the book.
The importance of fuzzy control is considered and the use of expert
systems in self-tuning control is discussed. The use of real-time
knowledged based systems in Fermentation supervisory control is
described and the impact of neural networks in process modelling is also
considered. The development of COGSYS which is an environment for
building expert systems and its applications is described, together with
its application to a gas processing plant.
Case studies in condition monitoring are presented. The development of
qualitative models for physical systems which is currently attracting
considerable interest from the Al community is considered. The design of
multivariable control systems and other aspects of process control are
also covered.
