"Multivariable Feedback Control—Analysis and Design" by Sigurd Skogestad and Ian Postlethwaite is a comprehensive textbook on multivariable feedback control for linear systems, aimed at graduate students and practicing engineers with a basic understanding of classical and state-space control. The book presents robust control concepts, including uncertainty modeling and the use of H∞ and μ-synthesis tools. It is a revised and expanded version of the first edition, with updated content, new chapters, and improved Matlab programs. The book integrates three key concepts in control theory: multivariable feedback design, uncertainty modeling, and the synthesis of feedback using H∞ and μ-synthesis. It emphasizes the importance of uncertainty in control design and provides a design-oriented approach, rather than a purely mathematical one. The book includes numerous examples, exercises, and Matlab programs, and uses classical control intuition in combination with computational tools. The authors have a strong background in multivariable and robust control, and the book reflects their research and teaching experience. The book is well-structured, with chapters covering classical control, multivariable feedback systems, uncertainty modeling, robust stability and performance, controller design, control structure design, model reduction, linear matrix inequalities, and applied control design. The book is praised for its balance between theory and practice, its accessibility to readers with a classical control background, and its contribution to the field of multivariable robust control. It is considered a valuable resource for both students and professionals in the field of systems and control."Multivariable Feedback Control—Analysis and Design" by Sigurd Skogestad and Ian Postlethwaite is a comprehensive textbook on multivariable feedback control for linear systems, aimed at graduate students and practicing engineers with a basic understanding of classical and state-space control. The book presents robust control concepts, including uncertainty modeling and the use of H∞ and μ-synthesis tools. It is a revised and expanded version of the first edition, with updated content, new chapters, and improved Matlab programs. The book integrates three key concepts in control theory: multivariable feedback design, uncertainty modeling, and the synthesis of feedback using H∞ and μ-synthesis. It emphasizes the importance of uncertainty in control design and provides a design-oriented approach, rather than a purely mathematical one. The book includes numerous examples, exercises, and Matlab programs, and uses classical control intuition in combination with computational tools. The authors have a strong background in multivariable and robust control, and the book reflects their research and teaching experience. The book is well-structured, with chapters covering classical control, multivariable feedback systems, uncertainty modeling, robust stability and performance, controller design, control structure design, model reduction, linear matrix inequalities, and applied control design. The book is praised for its balance between theory and practice, its accessibility to readers with a classical control background, and its contribution to the field of multivariable robust control. It is considered a valuable resource for both students and professionals in the field of systems and control.