000			03266nam a22004815i 4500
001			978-1-4614-9132-3
003			DE-He213
005			20200421111657.0
007			cr nn 008mamaa
008			131204s2014 xxu| s |||| 0|eng d
020			_a9781461491323 _9978-1-4614-9132-3
024	7		_a10.1007/978-1-4614-9132-3 _2doi
050		4	_aTJ212-225
072		7	_aTJFM _2bicssc
072		7	_aTEC004000 _2bisacsh
082	0	4	_a629.8 _223
100	1		_aYedavalli, Rama K. _eauthor.
245	1	0	_aRobust Control of Uncertain Dynamic Systems _h[electronic resource] : _bA Linear State Space Approach / _cby Rama K. Yedavalli.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2014.
300			_aXV, 204 p. 8 illus., 1 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction 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			_aThis 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.
650		0	_aEngineering.
650		0	_aSystem theory.
650		0	_aControl engineering.
650		0	_aRobotics.
650		0	_aMechatronics.
650	1	4	_aEngineering.
650	2	4	_aControl.
650	2	4	_aControl, Robotics, Mechatronics.
650	2	4	_aSystems Theory, Control.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461491316
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-9132-3
912			_aZDB-2-ENG
942			_cEBK
999			_c54792 _d54792