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.

• 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