Industrial control systems mathematical and statistical models and techniques

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 several type...

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Bibliographic Details
Main Author: Badiru, Adedeji Bodunde, 1952- (-)
Other Authors: Ayeni, Babatunde J., Ibidapo-Obe, Oye
Format: eBook
Language:Inglés
Published: Boca Raton : CRC Press c2012.
Edition:1st ed
Series:Industrial innovation series.
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009634737606719
Table of Contents:
  • Front Cover; Contents; Preface; Acknowledgments; Authors; Chapter 1: Mathematical modeling for product design; Chapter 2: Dynamic fuzzy systems modeling; Chapter 3: Stochastic systems modeling; Chapter 4: Systems optimization techniques; Chapter 5: Statistical control techniques; Chapter 6: Design of experiment techniques; Chapter 7: Risk analysis and estimation techniques; Chapter 8: Mathematical modeling and control of multi- constrained projects; Chapter 9: Online support vector regression with varying parameters for time-dependent data; Appendix: Mathematical and engineering formulae
  • Back Cover