Monitoring and Control of Information-Poor Systems (PDF)
An Approach based on Fuzzy Relational Models
(Sprache: Englisch)
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...
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...
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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.
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.
Autoren-Porträt von Arthur L. Dexter
Arthur L. Dexter, Department of Engineering Science, University of Oxford, UKArthur Dexter is Professor of Engineering Science at the University of Oxford where his research focuses on the design and implementation of intelligent control schemes for heating, ventilating and air-conditioning (HVAC) plants in commercial buildings. Having been the principal research investigator on 17 research contracts, he has also had over 100 research papers published in many journals including: Journal of Process Control, Fuzzy Sets & Systems, and Building and Environment, and has been a speaker at multiple international conferences. He is considered to be one of the most important researchers in this area today.
Professor Dexter has co-authored two books on the design of microcomputers and co-edited a third book on automated fault detection and diagnosis in buildings.
Bibliographische Angaben
- Autor: Arthur L. Dexter
- 2012, 2. Auflage, 312 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1119945879
- ISBN-13: 9781119945871
- Erscheinungsdatum: 01.02.2012
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