Ebook: Multivariable Control Systems: An Engineering Approach
- Tags: Control Engineering, Industrial and Production Engineering, Industrial Chemistry/Chemical Engineering, Systems Theory Control
- Series: Advanced Textbooks in Control and Signal Processing
- Year: 2004
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
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 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.
Content:
Front Matter....Pages i-xviii
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
Back Matter....Pages 275-340
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.
Content:
Front Matter....Pages i-xviii
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
Back Matter....Pages 275-340
....