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Multivariable Feedback Control: Analysis and Design, Second Edition
presents a rigorous, yet easily readable, introduction to the
analysis and design of robust multivariable control systems.
Focusing on practical feedback control and not on system theory in
general, this book provides the reader with insights into the
opportunities and limitations of feedback control.
Taking into account the latest developments in the field, this
fully revised and updated second edition:
* features a new chapter devoted to the use of linear matrix
inequalities (LMIs);
* presents current results on fundamental performance limitations
introduced by RHP-poles and RHP-zeros;
* introduces updated material on the selection of controlled
variables and self-optimizing control;
* provides simple IMC tuning rules for PID control;
* covers additional material including unstable plants, the
feedback amplifier, the lower gain margin and a clear strategy for
incorporating integral action into LQG control;
* includes numerous worked examples, exercises and case studies,
which make frequent use of Matlab and the new Robust Control
toolbox.
Multivariable Feedback Control: Analysis and Design, Second Edition
is an excellent resource for advanced undergraduate and graduate
courses studying multivariable control. It is also an invaluable
tool for engineers who want to understand multivariable control,
its limitations, and how it can be applied in practice. The
analysis techniques and the material on control structure design
should prove very useful in the new emerging area of systems
biology.
Reviews of the first edition:
"Being rich in insights and practical tips on controller design,
the book should also prove to be very beneficial to industrial
control engineers, both as a reference book and as an educational
tool." Applied Mechanics Reviews
"In summary, this book can be strongly recommended not only as a
basic text in multivariable control techniques for graduate and
undergraduate students, but also as a valuable source of
information for control engineers." International Journal of
Adaptive Control and Signal Processing
Multivariable Feedback Control: Analysis and Design, Second Edition
presents a rigorous, yet easily readable, introduction to the
analysis and design of robust multivariable control systems.
Focusing on practical feedback control and not on system theory in
general, this book provides the reader with insights into the
opportunities and limitations of feedback control.
Taking into account the latest developments in the field, this
fully revised and updated second edition:
* features a new chapter devoted to the use of linear matrix
inequalities (LMIs);
* presents current results on fundamental performance limitations
introduced by RHP-poles and RHP-zeros;
* introduces updated material on the selection of controlled
variables and self-optimizing control;
* provides simple IMC tuning rules for PID control;
* covers additional material including unstable plants, the
feedback amplifier, the lower gain margin and a clear strategy for
incorporating integral action into LQG control;
* includes numerous worked examples, exercises and case studies,
which make frequent use of Matlab and the new Robust Control
toolbox.
Multivariable Feedback Control: Analysis and Design, Second Edition
is an excellent resource for advanced undergraduate and graduate
courses studying multivariable control. It is also an invaluable
tool for engineers who want to understand multivariable control,
its limitations, and how it can be applied in practice. The
analysis techniques and the material on control structure design
should prove very useful in the new emerging area of systems
biology.
Reviews of the first edition:
"Being rich in insights and practical tips on controller design,
the book should also prove to be very beneficial to industrial
control engineers, both as a reference book and as an educational
tool." Applied Mechanics Reviews
"In summary, this book can be strongly recommended not only as a
basic text in multivariable control techniques for graduate and
undergraduate students, but also as a valuable source of
information for control engineers." International Journal of
Adaptive Control and Signal Processing
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