000			03853nam a22003975i 4500
001			291264
003			MX-SnUAN
005			20160429154840.0
007			cr nn 008mamaa
008			150903s2009 xxk| o |||| 0|eng d
020			_a9781848825239 _99781848825239
024	7		_a10.1007/9781848825239 _2doi
035			_avtls000344462
039		9	_a201509030407 _bVLOAD _c201405050307 _dVLOAD _y201402061257 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTJ212-225
100	1		_aZhang, Huaguang. _eautor _9305964
245	1	0	_aControlling Chaos : _bSuppression, Synchronization and Chaotification / _cby Huaguang Zhang, Derong Liu, Zhiliang Wang.
264		1	_aLondon : _bSpringer London, _c2009.
300			_axx, 344 páginas 178 ilustraciones _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		_aOverview -- Preliminaries of Nonlinear Dynamics and Chaos -- Entrainment and Migration Control of Chaotic Systems -- Feedback Control of Chaotic Systems -- Synchronizing Chaotic Systems Based on Feedback Control -- Synchronizing Chaotic Systems via Impulsive Control -- Synchronization of Chaotic Systems with Time Delay -- Synchronizing Chaotic Systems Based on Fuzzy Models -- Chaotification of Nonchaotic Systems.
520			_aControlling Chaos offers its reader an extensive selection of techniques to achieve three goals: the suppression, synchronization and generation of chaos, each of which is the focus of a separate part of the book. The text deals with the well-known Lorenz, Rössler and Hénon attractors and the Chua circuit, and with less celebrated novel systems. Modeling of chaos is accomplished using difference equations and ordinary and time-delayed differential equations. The methods directed at controlling chaos benefit from the influence of advanced nonlinear control theory: inverse optimal control is used for stabilization; exact linearization for synchronization; and impulsive control for chaotification. Notably, a fusion of chaos and fuzzy systems theories is employed, with the Takagi–Sugeno model and the authors’ own fuzzy hyperbolic model utilized in the modeling and control of chaotic systems. Time-delayed systems are also studied with many synchronization methods being explored. All the results presented are general for a broad class of chaotic systems. This monograph is self-contained with introductory material providing a review of the history of chaos control and the necessary mathematical preliminaries for working with dynamical systems. Controlling Chaos will be of interest to academics from electrical, systems, mechanical and chemical engineering backgrounds working in control theory related to nonlinear dynamical and chaotic systems and to graduate students of chaos control. The Communications and Control Engineering series reports major technological advances which have potential for great impact in the fields of communication and control. It reflects research in industrial and academic institutions around the world so that the readership can exploit new possibilities as they become available.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aLiu, Derong. _eautor _9305965
700	1		_aWang, Zhiliang. _eautor _9322472
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781848825222
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84882-523-9 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c291264 _d291264