Multivariable control techniques solve issues of complex specification and modelling errors elegantly but the complexity of the underlying mathematics is much higher than presented in traditional single-input, single-output control courses. Multivariable Control Systems focuses on control design wit
Multivariable Control Systems: An Engineering Approach
β Scribed by Pedro Albertos, Antonio Sala
- Publisher
- Springer
- Year
- 2004
- Tongue
- English
- Leaves
- 358
- Series
- Advanced Textbooks in Control and Signal Processing
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Multivariable Control Systems focuses on control design with continual references to the practical aspects of implementation. While the concepts of multivariable control are justified, the book emphasises the need to maintain student interest and motivation over exhaustive mathematical proof. Tools of analysis and representation are always developed as methods for achieving a final control system design and evaluation.
β¦ Table of Contents
Mutivariable Control Systems: An Engineering Approach......Page 1
Series Editorsβ Foreword......Page 8
Contents......Page 14
Introduction to Multivariable Control......Page 20
Linear System Representation: Models and Equivalence......Page 36
Linear Systems Analysis......Page 72
Solutions to the Control Problem......Page 117
Decentralised and Decoupled Control......Page 143
Fundamentals of Centralised Closed-loop Control......Page 183
Optimisation-based Control......Page 207
Designing for Robustness......Page 237
Implementation and Other Issues......Page 267
Summary of SISO System Analysis......Page 293
Matrices......Page 303
Signal and System Norms......Page 315
Optimisation......Page 321
Multivariable Statistics......Page 329
Robust Control Analysis and Synthesis......Page 341
References......Page 349
Index......Page 355
π SIMILAR VOLUMES
<p><P>Multivariable control techniques solve issues of complex specification and modelling errors elegantly but the complexity of the underlying mathematics is much higher than presented in traditional single-input, single-output control courses.</P><P><EM>Multivariable Control Systems</EM> focuses
Multivariable control techniques solve issues of complex specification and modelling errors elegantly but the complexity of the underlying mathematics is much higher than presented in traditional single-input, single-output control courses. Multivariable Control Systems focuses on control design wit