000			03171nam a22004575i 4500
001			u370601
003			SIRSI
005			20160812080042.0
007			cr nn 008mamaa
008			110516s2011 xxk| s |||| 0|eng d
020			_a9780857296320 _9978-0-85729-632-0
040			_cMX-MeUAM
050		4	_aTJ212-225
082	0	4	_a629.8 _223
100	1		_aSong, Bongsob. _eauthor.
245	1	0	_aDynamic Surface Control of Uncertain Nonlinear Systems _h[recurso electrónico] : _bAn LMI Approach / _cby Bongsob Song, J. Karl Hedrick.
264		1	_aLondon : _bSpringer London, _c2011.
300			_aXIV, 254 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aCommunications and Control Engineering, _x0178-5354
505	0		_aIntroduction -- Dynamic Surface Control -- Robustness to Uncertain Nonlinear Systems. Observer-based Dynamic Surface Control -- Constrained Stabilization Considering Input Saturation -- Fault-tolerant Control -- Fault-tolerant Control System for AHS -- Application to Mechanical Interconnected Systems -- Appendix: Proofs of Lemmas.
520			_aAlthough the problem of nonlinear controller design is as old as that of linear controller design, the systematic design methods framed in response are more sparse. Given the range and complexity of nonlinear systems, effective new methods of control design are therefore of significant importance. Dynamic Surface Control of Uncertain Nonlinear Systems provides a theoretically rigorous and practical introduction to nonlinear control design. The convex optimization approach applied to good effect in linear systems is extended to the nonlinear case using the new dynamic surface control (DSC) algorithm developed by the authors. A variety of problems – DSC design, output feedback, input saturation and fault-tolerant control among them – are considered. The inclusion of applications material demonstrates the real significance of the DSC algorithm, which is robust and easy to use, for nonlinear systems with uncertainty in automotive and robotics. Written for the researcher and graduate student of nonlinear control theory, this book will provide the applied mathematician and engineer alike with a set of powerful tools for nonlinear control design. It will also be of interest to practitioners working with a mechatronic systems in aerospace, manufacturing and automotive and robotics, milieux.
650		0	_aEngineering.
650		0	_aSystems theory.
650	1	4	_aEngineering.
650	2	4	_aControl.
650	2	4	_aSystems Theory, Control.
650	2	4	_aAutomotive Engineering.
700	1		_aHedrick, J. Karl. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780857296313
830		0	_aCommunications and Control Engineering, _x0178-5354
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-0-85729-632-0
596			_a19
942			_cLIBRO_ELEC
999			_c198481 _d198481