Linear Systems : Optimal and Robust Control

Alok Sinha

ISBN 10: 0849392179 / ISBN 13: 9780849392177

Published by CRC Press, 2007

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Designed for graduate-level courses, this text explains the concepts behind linear systems, optimal control, and robust control and illustrates these concepts with concrete examples and problems. It includes H¿ and sliding mode methods together for the first time in book form. The author develops mathematical analyses, including the derivation of H¿, and highlights the use of MATLAB® software to solve practical problems via computer. The text contains end-of-chapter exercises so that readers can test their assimilation of the material.A solutions manual is available with qualifying course adoption.

Seller Inventory # 9780849392177

Bibliographic Details

• Title: Linear Systems : Optimal and Robust Control
• Publisher: CRC Press
• Publication Date: 2007
• Language: English
• ISBN 10: 0849392179
• ISBN 13: 9780849392177
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 157H x 31D millimeters 235 millimeters width by 157 millimeters height by 31 millimeters depth
• Weight: 854 grams

About this title

Synopsis

Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear systems, optimal control, and robust control and illustrates these concepts with concrete examples and problems.

Developed as a two-course book, this self-contained text first discusses linear systems, including controllability, observability, and matrix fraction description. Within this framework, the author develops the ideas of state feedback control and observers. He then examines optimal control, stochastic optimal control, and the lack of robustness of linear quadratic Gaussian (LQG) control. The book subsequently presents robust control techniques and derives H∞ control theory from the first principle, followed by a discussion of the sliding mode control of a linear system. In addition, it shows how a blend of sliding mode control and H∞ methods can enhance the robustness of a linear system.

By learning the theories and algorithms as well as exploring the examples in Linear Systems: Optimal and Robust Control, students will be able to better understand and ultimately better manage engineering processes and systems.

About the Author

Alok Sinha