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Kategorie szczegółowe BISAC

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

ISBN-13: 9781493940899 / Angielski / Miękka / 2016 / 204 str.

Rama K. Yedavalli
Robust Control of Uncertain Dynamic Systems: A Linear State Space Approach Yedavalli, Rama K. 9781493940899 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

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

ISBN-13: 9781493940899 / Angielski / Miękka / 2016 / 204 str.

Rama K. Yedavalli
cena 201,24
(netto: 191,66 VAT:  5%)

Najniższa cena z 30 dni: 192,74
Termin realizacji zamówienia:
ok. 22 dni roboczych
Dostawa w 2026 r.

Darmowa dostawa!

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.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Automation
Science > System Theory
Mathematics > Prawdopodobieństwo i statystyka
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9781493940899
Rok wydania:
2016
Wydanie:
Softcover Repri
Ilość stron:
204
Waga:
3.40 kg
Wymiary:
23.5 x 15.5
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

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)

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.

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.

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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