Multivariable Control Systems: An Engineering Approach (Advanced Textbooks in Control and Signal Processing)

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 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 exhaustively rigorous mathematical proof. Tools of analysis and representation are always developed as methods for achieving a final control system design and evaluation. Features: • design implementation clearly laid out using extensive reference to MATLAB^®^; • combined consideration of systems (plant) and signals (mainly disturbances) in a fluent but simple presentation; • step-by-step approach from the objectives of multivariable control to the solution of complete design problems. __Multivariable Control Systems__ is an ideal text for masters students, students beginning their Ph.D. or for final-year undergraduates looking for more depth than provided by introductory textbooks. It will also interest the control engineer practising in industry and seeking to implement robust or multivariable control solutions to plant problems in as straightforward a manner as possible. 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 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 exhaustively rigorous mathematical proof. Tools of analysis and representation are always developed as methods for achieving a final control system design and evaluation. Features: . design implementation clearly laid out using extensive reference to Matlab®; . combined consideration of systems (plant) and signals (mainly disturbances) in a fluent but simple presentation; . step-by-step approach from the objectives of multivariable control to the solution of complete design problems. Multivariable Control Systems is an ideal text for masters students, students beginning their Ph.D. or for final-year undergraduates looking for more depth than provided by introductory textbooks. It will also interest the control engineer practising in industry and seeking to implement robust or multivariable control solutions to plant problems in as straightforward a manner as possible. TOC:Introduction to Multivariable Control Linear System Representation: Models and Equivalence Linear Systems Analysis Solutions to the Control Problem Decentralised and Decoupled Control Fundamentals of Centralised Closed-loop Control Optimisation-based Control Designing for Robustness Implementation and Other Issues Appendix A: Summary of SISO Control Systems Appendix B: Matrices Appendix C: Signal and System Norms Appendix D: Optimisation Appendix E: Multivariable Statistics Appendix F:: Robust Control Analysis and Synthesis

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 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 Exhaustively Rigorous Mathematical Proof. Tools Of Analysis And Representation Are Always Developed As Methods For Achieving A Final Control System Design And Evaluation.

features:

• Design Implementation Clearly Laid Out Using Extensive Reference To Matlab®;

• Combined Consideration Of Systems (plant) And Signals (mainly Disturbances) In A Fluent But Simple Presentation;

• Step-by-step Approach From The Objectives Of Multivariable Control To The Solution Of Complete Design Problems.

multivariable Control Systems Is An Ideal Text For Masters Students, Students Beginning Their Ph.d. Or For Final-year Undergraduates Looking For More Depth Than Provided By Introductory Textbooks. It Will Also Interest The Control Engineer Practising In Industry And Seeking To Implement Robust Or Multivariable Control Solutions To Plant Problems In As Straightforward A Manner As Possible.

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 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 exhaustively rigorous mathematical proof. Tools of analysis and representation are always developed as methods for achieving a final control system design and evaluation. Features : " design implementation clearly laid out using extensive reference to MATLAB®; " combined consideration of systems (plant) and signals (mainly disturbances) in a fluent but simple presentation; " step-by-step approach from the objectives of multivariable control to the solution of complete design problems. Multivariable Control Systems is an ideal text for masters students, students beginning their Ph. D. or for final-year undergraduates looking for more depth than provided by introductory textbooks. It will also interest the control engineer practising in industry and seeking to implement robust or multivariable control solutions to plant problems in as straightforward a manner as possible 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. Features: • design implementation laid out using extensive reference to MATLAB®; • combined consideration of systems (plant) and signals (mainly disturbances); • step-by-step approach from the objectives of multivariable control to the solution of complete design problems. Multivariable Control Systems is an ideal text for graduate students or for final-year undergraduates looking for more depth than provided by introductory textbooks. It will also interest the control engineer practising in industry and seeking to implement robust or multivariable control solutions to plant problems. Introduction to Multivariable Control....Pages 1-16 Linear System Representation: Models and Equivalence....Pages 17-52 Linear Systems Analysis....Pages 53-98 Solutions to the Control Problem....Pages 99-124 Decentralised and Decoupled Control....Pages 125-164 Fundamentals of Centralised Closed-loop Control....Pages 165-188 Optimisation-based Control....Pages 189-218 Designing for Robustness....Pages 219-248 Implementation and Other Issues....Pages 249-273 "Multivariable Control Systems is an ideal text for masters students, students beginning their Ph. D. or for final-year undergraduates looking for more depth than provided by introductory textbooks. It will also interest the control engineer practising in industry and seeking to implement robust or multivariable control solutions to plant problems in as straightforward a manner as possible."--Jacket This book focuses on control design with continual references to the practical aspects of implementation. While the concepts of multivariable control are justified, the book emphasizes the need to maintain student interest and motivation over exhaustively rigorous mathematical proof. This introductory chapter is devoted to reviewing the fundamental ideas of control from a multivariable point of view.