Control Configuration Selection for Multivariable Plants

• Main Authors: Khaki-Sedigh, Ali (Author), Moaveni, Bijan (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Lecture Notes in Control and Information Sciences, 391
• Subjects: Engineering.; Applied mathematics.; Engineering mathematics.; System theory.; Mechanical engineering.; Control engineering.; Robotics.; Mechatronics.; Industrial engineering.; Production engineering.; Control.; Applications of Mathematics.; Mechanical Engineering.; Control, Robotics, Mechatronics.; Systems Theory, Control.; Industrial and Production Engineering.

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...

Table of Contents:

• 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.