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:
Engineering > Statistical methods.
Uncertainty > Mathematical models.
Fuzzy systems.
Control theory.
Ingénierie > Méthodes statistiques.
Systèmes flous.
Théorie de la commande.
TECHNOLOGY & ENGINEERING > Engineering (General)
TECHNOLOGY & ENGINEERING > Reference.
Control theory
Engineering > Statistical methods
Fuzzy systems
Uncertainty > Mathematical models
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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