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Books > Computing & IT > Applications of computing > Artificial intelligence
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Knowledge-based Systems for Industrial Control (Hardcover)
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Knowledge-based Systems for Industrial Control (Hardcover)
Series: Control, Robotics and Sensors
Expected to ship within 18 - 22 working days
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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.
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