The monitoring and control of a system whose behaviour is highly uncertain is an important and challenging practical problem. Methods of solution based on fuzzy techniques have generated considerable interest, but very little of the existing literature considers explicit ways of taking uncertainties into account. This book describes an approach to the monitoring and control of information-poor systems that is based on fuzzy relational models which generate fuzzy outputs.

The first part of Monitoring and Control of Information-Poor Systems aims to clarify why design decisions must take account of the uncertainty associated with optimal choices, and to explain how a fuzzy relational model can be used to generate a fuzzy output, which reflects the uncertainties associated with its predictions. Part two gives a brief introduction to fuzzy decision-making and shows how it can be used to design a predictive control scheme that is suitable for controlling information-poor systems using inaccurate measurements. Part three describes different ways in which fuzzy relational models can be generated online and explains the practical issues associated with their identification and application. The final part of the book provides examples of the use of the previously described techniques in real applications.

Key features:

• Describes techniques applicable to a wide range of engineering, environmental, medical, financial and economic applications
• Uses simple examples to help explain the basic techniques for dealing with uncertainty
• Describes a novel design approach based on the use of fuzzy relational models
• Considers practical issues associated with applying the techniques to real systems

Monitoring and Control of Information-Poor Systems forms an invaluable resource for a wide range of graduate students, and is also a comprehensive reference for researchers and practitioners working on problems involving mathematical modelling and control.Content:
Chapter 1 Characteristics of Information?Poor Systems (pages 1–11):
Chapter 2 Describing and Propagating Uncertainty (pages 13–28):
Chapter 3 Accounting for Measurement Uncertainty (pages 29–40):
Chapter 4 Accounting for Modelling Errors in Fuzzy Models (pages 41–61):
Chapter 5 Fuzzy Relational Models (pages 63–93):
Chapter 6 Fuzzy Decision?Making (pages 95–109):
Chapter 7 Predictive Control in Uncertain Systems (pages 111–128):
Chapter 8 Incorporating Fuzzy Inputs (pages 129–152):
Chapter 9 Disturbance Rejection in Information?Poor Systems (pages 153–167):
Chapter 10 Online Model Identification in Information?Poor Environments (pages 169–186):
Chapter 11 Adaptive Model?Based Control of Information?Poor Systems (pages 187–210):
Chapter 12 Adaptive Model?Free Control of Information?Poor Systems (pages 211–227):
Chapter 13 Fault Diagnosis in Information?Poor Systems (pages 229–244):
Chapter 14 Control of Thermal Comfort (pages 245–260):
Chapter 15 Identification of Faults in Air?Conditioning Systems (pages 261–273):
Chapter 16 Control of Heat Exchangers (pages 275–291):
Chapter 17 Measurement of Spatially Distributed Quantities (pages 293–307):