000			03200nam a22003735i 4500
001			287070
003			MX-SnUAN
005			20220805092211.0
007			cr nn 008mamaa
008			150903s2012 xxk| o |||| 0|eng d
020			_a9781447128793 _99781447128793
024	7		_a10.1007/9781447128793 _2doi
035			_avtls000339652
039		9	_a201509030318 _bVLOAD _c201404300403 _dVLOAD _y201402060940 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTJ212-225
100	1		_aMahmoud, Magdi S. _eautor _9306481
245	1	0	_aApplied Control Systems Design / _cby Magdi S. Mahmoud, Yuanqing Xia.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2012.
300			_axxI, 560 páginas 363 ilustraciones, 216 ilustraciones en color. _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
505	0		_aSome Industrial Systems -- System Identification Models -- Simulation Results -- Nominal Control Designs -- Robust Control Design -- Resilient Control Design.
520			_aApplied Control System Design examines several methods for building up systems models based on real experimental data from typical industrial processes and incorporating system identification techniques. The text takes a comparative approach to the models derived in this way judging their suitability for use in different systems and under different operational circumstances. A broad spectrum of control methods including various forms of filtering, feedback and feedforward control is applied to the models and the guidelines derived from the closed-loop responses are then composed into a concrete self-tested recipe to serve as a check-list for industrial engineers or control designers. System identification and control design are given equal weight in model derivation and testing to reflect their equality of importance in the proper design and optimization of high-performance control systems. Readers’ assimilation of the material discussed is assisted by the provision of problems and examples. Most of these exercises use MATLAB® to make computation and visualization more straightforward. Applied Control System Design will be of interest to academic researchers for its comparison of different systems models and their response to different control methods and will assist graduate students in learning the practical necessities of advanced control system design. The consistent reference to real systems coupled with self-learning tools will assist control practitioners who wish to keep up to date with the latest control design ideas.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781447128786
700	1		_9445940 _aXia, Yuanqing _eautor
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4471-2879-3 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c287070 _d287070