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Robust Control of Uncertain Dynamic Systems: A Linear State Space Approach

Autor Rama K. Yedavalli
en Limba Engleză Hardback – 6 dec 2013
This textbook aims to provide a clear understanding of the various tools of analysis and design for robust stability and performance of uncertain dynamic systems. In model-based control design and analysis, mathematical models can never completely represent the “real world” system that is being modeled, and thus it is imperative to incorporate and accommodate a level of uncertainty into the models. This book directly addresses these issues from a deterministic uncertainty viewpoint and focuses on the interval parameter characterization of uncertain systems. Various tools of analysis and design are presented in a consolidated manner. This volume fills a current gap in published works by explicitly addressing the subject of control of dynamic systems from linear state space framework, namely using a time-domain, matrix-theory based approach.
This book also:
Presents and formulates the robustness problem in a linear state space model framework.


Illustrates various systems level methodologies with examples and applications drawn from aerospace, electrical and mechanical engineering.


Provides connections between lyapunov-based matrix approach and the transfer function based polynomial approaches.
Robust Control of Uncertain Dynamic Systems: A Linear State Space Approach is an ideal book for first year graduate students taking a course in robust control in aerospace, mechanical, or electrical engineering.
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Specificații

ISBN-13: 9781461491316
ISBN-10: 1461491312
Pagini: 220
Ilustrații: XV, 204 p. 8 illus., 1 illus. in color.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.41 kg
Ediția:2014
Editura: Springer
Colecția Springer
Locul publicării:New York, NY, United States

Public țintă

Graduate

Cuprins

Introduction and Perspective.- Robust Stability Analysis of Linear State Space Systems.- Performance Robustness Analysis via Root Clustering (Robust D-Stability).- Robust Control Design for Linear Uncertain State Space Systems.- Applications to Engineering Systems.- Related and Emerging Topics.- A Appendix.

Recenzii

From the book reviews:
“This book is a concise, clear and well-organized masterpiece on robust control theory for linear systems with parameter-uncertainty. … as a textbook for understanding the basic concepts and state-space methodologies about robust control, this book is one of the best ones I have ever read.” (Yun Zou, Mathematical Reviews, November, 2014)

Notă biografică

Professor Yedavalli has been teaching the robust control course at Ohio State for many years. Having not found a text that meets his needs, he developed his own course notes. The course in robust control is offered at the first year graduate level at universities with a graduate level engineering program. Professor Yedavalli believes that there is a need for a book that concentrates on the time domain state space approach and uses quadratic stability (lyapunov based) methodology. The books currently available take a frequency domain (transfer function based) approaches such as H-infinity and Mu synthesis.

Textul de pe ultima copertă

This textbook aims to provide a clear understanding of the various tools of analysis and design for robust stability and performance of uncertain dynamic systems. In model-based control design and analysis, mathematical models can never completely represent the “real world” system that is being modeled, and thus it is imperative to incorporate and accommodate a level of uncertainty into the models. This book directly addresses these issues from a deterministic uncertainty viewpoint and focuses on the interval parameter characterization of uncertain systems. Various tools of analysis and design are presented in a consolidated manner. This volume fills a current gap in published works by explicitly addressing the subject of control of dynamic systems from linear state space framework, namely using a time-domain, matrix-theory based approach.
This book also:
Presents and formulates the robustness problem in a linear state space model framework


Illustrates various systems level methodologies with examples and applications drawn from aerospace, electrical and mechanical engineering


Provides connections between lyapunov-based matrix approach and the transfer function based polynomial approaches
Robust Control of Uncertain Dynamic Systems: A Linear State Space Approach is an ideal book for first year graduate students taking a course in robust control in aerospace, mechanical, or electrical engineering.

Caracteristici

Presents and formulates the robustness problem in a linear state space model framework Illustrates various systems level methodologies with examples and applications drawn from aerospace, electrical and mechanical engineering Provides connections between lyapunov-based matrix approach and the transfer function based polynomial approaches Includes supplementary material: sn.pub/extras