Knowledge-Based Systems for Industrial Control

Herausgeber: McGhee, J.; Mowforth, P.; Grimble, M J

• Gebundenes Buch

Produktbeschreibung

This book covers four main issues: the background of knowledge-based control, artificial intelligence, applications of knowledge expertise, and deductive control.

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Produktdetails

• Verlag: Institution of Engineering & Technology
• Seitenzahl: 356
• Erscheinungstermin: 30. Juni 1990
• Englisch
• Abmessung: 240mm x 161mm x 23mm
• Gewicht: 701g
• ISBN-13: 9780863412219
• ISBN-10: 0863412211
• Artikelnr.: 35663961

Inhaltsangabe

* Part 1: Background for knowledge-based control
* Chapter 1: Holistic approaches in knowledge-based process control
* Chapter 2: Introduction to knowledge-based systems for process
control
* Chapter 3: Basic theory and algorithms for fuzzy sets and logic
* Chapter 4: Knowledge engineering and process control
* Part 2: Artificial intelligence issues
* Chapter 5: Cognitive models from subcognitive skills
* Chapter 6: A review of the approaches to the qualitative modelling of
complex systems
* Chapter 7: Solving process engineering problems using artificial
neural networks
* Chapter 8: Parallel processing architecture for real-time control
* Part 3: Applications of knowledge expertise
* Chapter 9: Overview of artificial intelligence tools
* Chapter 10: Application of fuzzy logic to control and estimation
problems
* Chapter 11: Real-time knowledge-based systems in fermentation
supervisory control
* Chapter 12: Machine-learned rule-based control
* Chapter 13: Expert systems for self-tuning control
* Chapter 14: Case studies in condition monitoring
* Chapter 15: COGSYS - the real-time expert system builder
* Chapter 16: Application of COGSYS to a small gas-processing plant
* Part 4: Deductive control issues
* Chapter 17: Expert system issues for multivariable control
* Chapter 18: Design of LQG and H∞ multivariable robust controllers for
process control applications