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...
Published in: | Springer eBooks |
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Main Author: | |
Corporate Author: | |
Format: | eBook |
Language: | English |
Published: |
New York, NY :
Springer New York : Imprint: Springer,
2014.
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Subjects: | |
Online Access: | http://dx.doi.org/10.1007/978-1-4614-9132-3 Перейти в каталог НБ ТГУ |
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039 | 9 | |y 201609152138 |z Александр Эльверович Гилязов | |
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100 | 1 | |a Yedavalli, Rama K. |e author. |9 445923 | |
245 | 1 | 0 | |a Robust Control of Uncertain Dynamic Systems |h electronic resource |b A Linear State Space Approach / |c by Rama K. Yedavalli. |
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300 | |a XV, 204 p. 8 illus., 1 illus. in color. |b online resource. | ||
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338 | |a online resource |b cr |2 rdacarrier | ||
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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650 | 2 | 4 | |a control. |9 348605 |
650 | 2 | 4 | |a Control, Robotics, Mechatronics. |9 348603 |
650 | 2 | 4 | |a Systems Theory, Control. |9 304010 |
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