Application of Artificial Intelligence in Process Control available in Hardcover
- Pub. Date:
- Elsevier Science
This book is the result of a united effort of six European universities to create an overall course on the appplication of artificial intelligence (AI) in process control. The book includes an introduction to key areas including; knowledge representation, expert, logic, fuzzy logic, neural network, and object oriented-based approaches in AI. Part two covers the application to control engineering, part three: Real-Time Issues, part four: CAD Systems and Expert Systems, part five: Intelligent Control and part six: Supervisory Control, Monitoring and Optimization.
|Edition description:||1st ed|
|Product dimensions:||6.50(w) x 1.50(h) x 9.50(d)|
Table of ContentsPreface. Contributing authors. Part I: Artificial Intelligence. Roadmap. A gentle introduction to artificial intelligence, L. Boullart. Knowledge representation by logic, L. Boullart. Object orientation and object-oriented programming, L. Boullart. Expert system case study: the chocolate biscuit factory, J. Efstathiou. Using A.I.-formalisms in programming logic controllers, L. Boullart. An introduction to expert system development, M. Tomàs Saborido. Introduction to fuzzy logic and fuzzy sets, R. Vepa. An introduction to neural networks, G. Wells. Part II: Control Engineering. Roadmap. Computer control systems: an introduction, M. G. Rodd & G. J. Suski. Towards intelligent control: integration of AI in control, H. B. Verbruggen