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20220927105644.0 |
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cr nn 008mamaa |
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131204s2014 xxu| s |||| 0|eng d |
| 020 |
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|a 9781461491323
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| 024 |
7 |
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|a 10.1007/978-1-4614-9132-3
|2 doi
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| 050 |
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4 |
|a TJ212-225
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| 072 |
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7 |
|a TJFM
|2 bicssc
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| 072 |
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7 |
|a TEC004000
|2 bisacsh
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| 100 |
1 |
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|a Yedavalli, Rama K.
|9 260193
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| 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 |
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1 |
|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2014.
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| 300 |
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|a xv, 204 p. :
|b il.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 505 |
0 |
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|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.
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| 520 |
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|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.
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| 650 |
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0 |
|a Engineering.
|9 259622
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| 650 |
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0 |
|a System theory.
|9 259588
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| 650 |
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|a Control engineering.
|9 259595
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| 650 |
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|a Robotics.
|9 259596
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| 650 |
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|a Mechatronics.
|9 259597
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| 650 |
2 |
4 |
|a Control.
|9 263886
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| 776 |
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8 |
|i Printed edition:
|z 9781461491316
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-1-4614-9132-3
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| 912 |
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|a ZDB-2-ENG
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| 929 |
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|a COM
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| 942 |
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|c EBK
|6 _
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| 950 |
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|a Engineering (Springer-11647)
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| 999 |
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|a SKV
|c 27557
|d 27557
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