Description
Unlock the secrets of effective systems design with 'Multivariable Feedback Control: Analysis and Design, Second Edition'. This comprehensive textbook offers a detailed yet approachable introduction to the analysis and design of robust multivariable control systems. Ideal for advanced engineering students and professionals, the book emphasizes practical feedback control and sheds light on the opportunities and limitations inherent in feedback control mechanisms. Stay ahead of industry standards with the latest advancements, including a dedicated chapter on linear matrix inequalities (LMIs) that facilitate enhanced control system performance.
Delve into critical topics such as fundamental performance limitations due to RHP-poles and RHP-zeros, selection of controlled variables, and self-optimizing control techniques. With clear explanations of IMC tuning rules for PID control, and expanded coverage of unstable plants, feedback amplifiers, and the integration of integral action into LQG control, this book is a must-have for engineers eager to optimize control strategies.
The text is packed with practical learning resources, including numerous worked examples, exercises, and case studies, utilizing Matlab and the Robust Control toolbox for additional hands-on experience. Whether you're studying advanced undergraduate courses or engaging in graduate-level exploration, 'Multivariable Feedback Control' is an invaluable asset to understanding the complexities of multivariable systems.
Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled. Condition: BRAND NEW. ISBN: 9780470011683. Year: 2005. Publisher: John Wiley & Sons (UK). Pages: 608.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9780470011683
Year: 2005
Publisher: John Wiley & Sons (UK)
Pages: 608
Description:
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.
Review
Delve into critical topics such as fundamental performance limitations due to RHP-poles and RHP-zeros, selection of controlled variables, and self-optimizing control techniques. With clear explanations of IMC tuning rules for PID control, and expanded coverage of unstable plants, feedback amplifiers, and the integration of integral action into LQG control, this book is a must-have for engineers eager to optimize control strategies.
The text is packed with practical learning resources, including numerous worked examples, exercises, and case studies, utilizing Matlab and the Robust Control toolbox for additional hands-on experience. Whether you're studying advanced undergraduate courses or engaging in graduate-level exploration, 'Multivariable Feedback Control' is an invaluable asset to understanding the complexities of multivariable systems.
Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled. Condition: BRAND NEW. ISBN: 9780470011683. Year: 2005. Publisher: John Wiley & Sons (UK). Pages: 608.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9780470011683
Year: 2005
Publisher: John Wiley & Sons (UK)
Pages: 608
Description:
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.
Review