Monitoring and Control of Information-Poor Systems

Beschreibung

The monitoring and control of a system whose behaviour is highlyuncertain is an important and challenging practical problem.Methods of solution based on fuzzy techniques have generatedconsiderable interest, but very little of the existing literatureconsiders explicit ways of taking uncertainties into account. Thisbook describes an approach to the monitoring and control ofinformation-poor systems that is based on fuzzy relational modelswhich generate fuzzy outputs. The first part of Monitoring and Control of Information-PoorSystems aims to clarify why design decisions must take accountof the uncertainty associated with optimal choices, and to explainhow a fuzzy relational model can be used to generate a fuzzyoutput, which reflects the uncertainties associated with itspredictions. Part two gives a brief introduction to fuzzydecision-making and shows how it can be used to design a predictivecontrol scheme that is suitable for controlling information-poorsystems using inaccurate measurements. Part three describesdifferent ways in which fuzzy relational models can be generatedonline and explains the practical issues associated with theiridentification and application. The final part of the book providesexamples of the use of the previously described techniques in realapplications. 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 fordealing with uncertainty * Describes a novel design approach based on the use of fuzzyrelational models * Considers practical issues associated with applying thetechniques to real systems Monitoring and Control of Information-Poor Systems formsan invaluable resource for a wide range of graduate students, andis also a comprehensive reference for researchers and practitionersworking on problems involving mathematical modelling andcontrol.

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Arthur L. Dexter

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Control Process & Measurements Control Systems Technology Electrical & Electronics Engineering Elektrotechnik u. Elektronik Fuzzy Systems Fuzzy-Systeme Maschinenbau Mechanical Engineering Mess- u. Regeltechnik Regelungstechnik

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