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

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Yedavalli, Rama K. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Robust Control of Uncertain Dynamic Systems  |h [electronic resource] :  |b A Linear State Space Approach /  |c by Rama K. Yedavalli. 
250 |a 1st ed. 2014. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2014. 
300 |a XV, 204 p. 8 illus., 1 illus. in color.  |b online resource. 
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505 0 |a 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. 
520 |a 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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