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001			280898
003			MX-SnUAN
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007			cr nn 008mamaa
008			150903s2011 xxk| o |||| 0|eng d
020			_a9780857296320 _99780857296320
024	7		_a10.1007/9780857296320 _2doi
035			_avtls000333942
039		9	_a201509030754 _bVLOAD _c201404130603 _dVLOAD _c201404092352 _dVLOAD _y201402041136 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTJ212-225
100	1		_aSong, Bongsob. _eautor _9306152
245	1	0	_aDynamic Surface Control of Uncertain Nonlinear Systems : _bAn LMI Approach / _cby Bongsob Song, J. Karl Hedrick.
264		1	_aLondon : _bSpringer London, _c2011.
300			_axiv, 254 páginas _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aCommunications and Control Engineering, _x0178-5354
500			_aSpringer eBooks
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.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aHedrick, J. Karl. _eautor _9306153
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9780857296313
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-85729-632-0 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c280898 _d280898