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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Full text (MCPHS users only) |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Chichester, West Sussex, U.K. ; Hoboken, N.J. :
Wiley,
2012
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| Subjects: | |
| Local Note: | ProQuest Ebook Central |
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. | ||
| 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. | ||
| 588 | 0 | |a Print version record. | |
| 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. | |
| 758 | |i has work: |a Monitoring and control of information-poor systems (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGMmXCWmvdbCdy4V7JM9Dq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 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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