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Monitoring and control of information-poor systems /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dexter, A. L. (Arthur L.)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex, U.K. ; Hoboken, N.J. : Wiley, 2012.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Dexter, A. L.  |q (Arthur L.)  |1 https://id.oclc.org/worldcat/entity/E39PCjtKcQdQBKhj47RYcKhd8K 
245 1 0 |a Monitoring and control of information-poor systems /  |c Arthur L. Dexter. 
260 |a Chichester, West Sussex, U.K. ;  |a Hoboken, N.J. :  |b Wiley,  |c 2012. 
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504 |a Includes bibliographical references and index. 
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505 0 |a Front Matter -- Analysing the Behaviour of Information-Poor Systems. Characteristics of Information-Poor Systems -- Describing and Propagating Uncertainty -- Accounting for Measurement Uncertainty -- Accounting for Modelling Errors in Fuzzy Models -- Fuzzy Relational Models -- Control of Information-Poor Systems. Fuzzy Decision-Making -- Predictive Control in Uncertain Systems -- Incorporating Fuzzy Inputs -- Disturbance Rejection in Information-Poor Systems -- Online Learning in Information-Poor Systems. Online Model Identification in Information-Poor Environments -- Adaptive Model-Based Control of Information-Poor Systems -- Adaptive Model-Free Control of Information-Poor Systems -- Fault Diagnosis in Information-Poor Systems -- Some Example Applications. Control of Thermal Comfort -- Identification of Faults in Air-Conditioning Systems -- Control of Heat Exchangers -- Measurement of Spatially Distributed Quantities -- Index. 
520 |a 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. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Engineering  |x Statistical methods. 
650 0 |a Uncertainty  |x Mathematical models. 
650 0 |a Fuzzy systems. 
650 0 |a Control theory. 
650 6 |a Ingénierie  |x Méthodes statistiques. 
650 6 |a Systèmes flous. 
650 6 |a Théorie de la commande. 
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650 7 |a TECHNOLOGY & ENGINEERING  |x Reference.  |2 bisacsh 
650 7 |a Control theory  |2 fast 
650 7 |a Engineering  |x Statistical methods  |2 fast 
650 7 |a Fuzzy systems  |2 fast 
650 7 |a Uncertainty  |x Mathematical models  |2 fast 
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776 0 8 |i Print version:  |a Dexter, A.L. (Arthur L.).  |t Monitoring and control of information-poor systems.  |d Chichester, West Sussex, U.K. ; Hoboken, N.J. : Wiley, 2012  |z 9780470688694  |w (DLC) 2011046728  |w (OCoLC)769289523 
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