Multivariable Control Systems

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.

Multivariable Control Systems will sell because it teaches a very important form of control without burdening the subject with an overdependence on heavy and complicated mathematics

Autorentext

Pedro Albertos is Professor of Automatic Control (1977-), at the Department of Systems Engineering, Computers, and Control, Universidad Politecnica Valencia, (UPV), Spain, giving courses on Advanced and Intelligent Control Systems, and Systems Theory. This school is very well thought of in the control community. From 1999-2002 he was IFAC President, organising the IFAC World Congress in Spain, 2002. President of the Spanish automatic control association CEA-IFAC, he is promoting a stronger industry collaboration, planning regular meetings-seminars for the various working groups. His contribution will significantly enhance the prestige of Advanced Textbooks in Control and Signal Processing. In tems of level of content, Multivariable Control Systems will sit neatly between the simple one-module course and general compendium textbooks of basic undergraduate control courses and the maths-heavy titles available to senior masters and Ph.D. students. As such it will introduce specialist ideas without demanding excessive mathematical rigour to follow the text. This will make it very suitable for final-year undergraduates needing more coverage than a basic textbook and beginning postgraduates who are not yet in a position to benefit from more advanced mathematics. Professor Albertos and Doctor Sala were the editors of a volume of collected papers entitled: Iterative Identification and Control

Klappentext

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.

Inhalt
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.