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Written for advanced undergraduate and graduate courses, this book presents an introduction to the analysis and design of robust multivariable control systems. It provides insights into the opportunities and limitations of feedback control, to enable engineers to design real control systems. Topics covered include classical frequency-domain methods, multivariable systems, and the analysis of directions using the singular value decomposition. Whether you are transitioning a classroom course to a hybrid model, developing virtual labs, or launching a fully online program, MathWorks can help you foster active learning no matter where it takes place. Select a Web Site. Choose a web site to get translated content where available and see local events and offers.
Transfer functions. Deriving linear models. System descriptions. State controllability and state observability Stability. More on poles and zeros.
MULTIVARIABLE. FEEDBACK CONTROL. Analysis and design. Sigurd Skogestad. Norwegian University of Science and Technology. Ian Postlethwaite.
The course will give a rigorous introduction to the analysis and design of linear multivariable control systems. The focus is on inherent limitations in feedback control systems and on stability and performance in the presence of uncertainty robustness. Important topics include: classic frequency domain methods extended to multivariable systems, directionality in MIMO systems, input-output controllability, uncertainty descriptions, linear fractional transformations, robustness analysis including the structured singular value mu, mu-synthesis, H2- and H-infty controller synthesis, H-infty loop shaping, linear matrix inequalities, balanced model reduction. Undergraduate course in classic SISO control, elementary background in matrices and linear algebra. An introductory course in multivariable control is recommended, but not a requirement.
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