Control Configuration Selection for Multivariable Plants

Control of multivariable industrial plants and processes has been a challenging and fascinating task for researchers in this field. The analysis and design methodologies for multivariable plants can be categorized as centralized and decentralized design strategies. Despite the remarkable theoretical...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Khaki-Sedigh, A. (Autor), Moaveni, B. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Lecture Notes in Control and Information Sciences, 391
Temas:
Control engineering.
Mathematics.
Mechanical engineering.
Robotics.
Automation.
System theory.
Control theory.
Industrial engineering.
Production engineering.
Control and Systems Theory.
Applications of Mathematics.
Mechanical Engineering.
Control, Robotics, Automation.
Systems Theory, Control .
Industrial and Production Engineering.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Control Configuration Selection of Linear Multivariable Plants: The RGA Approach
  • Control Configuration of Linear Multivariable Plants: Advanced RGA Based Techniques
  • Control Configuration Selection of Linear Multivariable Plants: SSV and Passivity Based Techniques
  • Control Configuration Selection of Linear Multivariable Plants Based on the State-Space Models
  • Control Configuration Selection of Nonlinear Multivariable Plants
  • Control Configuration Selection of Linear Uncertain Multivariable Plants
  • Appendix: Mathematical Models Used in Examples.

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