TY - BOOK ID - 37892713 TI - Multivariable Control Systems : An Engineering Approach AU - Albertos, Pedro. AU - Antonio, Sala. PY - 2004 SN - 1280145552 9786610145553 1852338431 1852337389 PB - London : Springer London : Imprint: Springer, DB - UniCat KW - Automatic control. KW - Control theory. KW - Computer engineering. KW - Biochemical engineering. KW - Industrial engineering. KW - Chemical engineering. KW - Systems theory. KW - Control and Systems Theory. KW - Electrical Engineering. KW - Biochemical Engineering. KW - Industrial and Production Engineering. KW - Industrial Chemistry/Chemical Engineering. KW - Systems Theory, Control. KW - Control engineering. KW - Electrical engineering. KW - Production engineering. KW - System theory. KW - Chemistry, Industrial KW - Engineering, Chemical KW - Industrial chemistry KW - Engineering KW - Chemistry, Technical KW - Metallurgy KW - Manufacturing engineering KW - Process engineering KW - Industrial engineering KW - Mechanical engineering KW - Management engineering KW - Simplification in industry KW - Value analysis (Cost control) KW - Bio-process engineering KW - Bioprocess engineering KW - Biochemistry KW - Biotechnology KW - Chemical engineering KW - Electric engineering KW - Control engineering KW - Control equipment KW - Control theory KW - Engineering instruments KW - Automation KW - Programmable controllers KW - Systems, Theory of KW - Systems science KW - Science KW - Philosophy UR - https://www.unicat.be/uniCat?func=search&query=sysid:37892713 AB - 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. ER -