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Industrial control systems : mathematical and statistical models and techniques /

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"Preface This book presents the mathematical foundation for building and implementing industrial control systems. It contains mathematically rigorous models and techniques for control systems, in general, with specific orientation toward industrial systems. Industrial control encompasses severa...

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Bibliographic Details
Main Author: Badiru, Adedeji Bodunde, 1952-
Corporate Author: Taylor & Francis
Other Authors: Ayeni, Babatunde J., Ibidapo-Obe, Oye
Format: eBook
Language:English
Language Notes:English.
Published: Boca Raton : CRC Press, ©2012.
Series:Industrial innovation series.
Subjects:
Process control > Mathematical models.
Process control > Statistical methods.
Fabrication > Contrôle > Modèles mathématiques.
BUSINESS & ECONOMICS > Production & Operations Management.
TECHNOLOGY & ENGINEERING > Industrial Engineering.
TECHNOLOGY & ENGINEERING > Industrial Technology.
Process control > Mathematical models
Process control > Statistical methods
Electronic books.
Online Access:Connect to the full text of this electronic book
Connect to the full text of this electronic book
Table of Contents:
  • Ch. 1. Mathematical modeling for product design
  • ch. 2. Dynamic fuzzy systems modeling
  • ch. 3. Stochastic systems modeling
  • ch. 4. Systems optimization techniques
  • ch. 5. Statistical control techniques
  • ch. 6. Design of experiment techniques
  • ch. 7. Risk analysis and estimation techniques
  • ch. 8. Mathematical modeling and control of multi-constrained projects
  • ch. 9. Online support vector regression with varying parameters for time-dependent data.