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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Detalles Bibliográficos
Autor principal: Badiru, Adedeji Bodunde, 1952- (-)
Otros Autores: Ayeni, Babatunde J., Ibidapo-Obe, Oye
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : CRC Press c2012.
Edición:1st ed
Colección:Industrial innovation series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009634737606719
Tabla de Contenidos:
  • 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