Multivariable Feedback Control: Analysis and Design

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This second edition presents a rigorous yet accessible introduction to robust multivariable control systems, emphasizing practical feedback control rather than general system theory. It offers insights into the opportunities and limitations of feedback control, incorporating the latest developments in the field. Key features include a new chapter on linear matrix inequalities (LMIs), updated information on performance limitations due to RHP-poles and RHP-zeros, and enhanced material on controlled variable selection and self-optimizing control. The book also provides straightforward IMC tuning rules for PID control, covers unstable plants, feedback amplifiers, lower gain margins, and strategies for integrating integral action into LQG control. Numerous worked examples, exercises, and case studies, frequently utilizing Matlab and the Robust Control toolbox, enrich the learning experience. This resource is ideal for advanced undergraduate and graduate courses in multivariable control and serves as an invaluable tool for engineers seeking to understand and apply multivariable control in practice. The analysis techniques and control structure design material are particularly relevant for the emerging field of systems biology. Reviews highlight its practical insights and educational value for both students and industrial control engineers.