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 â_oreal worldâ__ system that is being...
Guardado en:
Autor principal: | |
---|---|
Formato: | Libro electrónico |
Lenguaje: | Inglés |
Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2014.
|
Materias: | |
Acceso en línea: | http://dx.doi.org/10.1007/978-1-4614-9132-3 |
Aporte de: | Registro referencial: Solicitar el recurso aquí |
LEADER | 03067Cam#a22004215i#4500 | ||
---|---|---|---|
001 | INGC-EBK-000129 | ||
003 | AR-LpUFI | ||
005 | 20220927105644.0 | ||
007 | cr nn 008mamaa | ||
008 | 131204s2014 xxu| s |||| 0|eng d | ||
020 | |a 9781461491323 | ||
024 | 7 | |a 10.1007/978-1-4614-9132-3 |2 doi | |
050 | 4 | |a TJ212-225 | |
072 | 7 | |a TJFM |2 bicssc | |
072 | 7 | |a TEC004000 |2 bisacsh | |
100 | 1 | |a Yedavalli, Rama K. |9 260193 | |
245 | 1 | 0 | |a Robust Control of Uncertain Dynamic Systems |h [libro electrónico] : ; |b A Linear State Space Approach / |c by Rama K. Yedavalli. |
260 | 1 | |a New York, NY : |b Springer New York : |b Imprint: Springer, |c 2014. | |
300 | |a xv, 204 p. : |b il. | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |b PDF |2 rda | ||
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 â_oreal worldâ__ 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. | ||
650 | 0 | |a Engineering. |9 259622 | |
650 | 0 | |a System theory. |9 259588 | |
650 | 0 | |a Control engineering. |9 259595 | |
650 | 0 | |a Robotics. |9 259596 | |
650 | 0 | |a Mechatronics. |9 259597 | |
650 | 2 | 4 | |a Control. |9 263886 |
776 | 0 | 8 | |i Printed edition: |z 9781461491316 |
856 | 4 | 0 | |u http://dx.doi.org/10.1007/978-1-4614-9132-3 |
912 | |a ZDB-2-ENG | ||
929 | |a COM | ||
942 | |c EBK |6 _ | ||
950 | |a Engineering (Springer-11647) | ||
999 | |a SKV |c 27557 |d 27557 |