000			03763nam a22003855i 4500
001			292011
003			MX-SnUAN
005			20160429154933.0
007			cr nn 008mamaa
008			150903s2005 xxk| o |||| 0|eng d
020			_a9781846280917 _99781846280917
024	7		_a10.1007/b135806 _2doi
035			_avtls000343640
039		9	_a201509030443 _bVLOAD _c201405070502 _dVLOAD _y201402061201 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
100	1		_aGu, Da-Wei. _eautor _9314979
245	1	0	_aRobust Control Design with MATLAB® / _cby Da-Wei Gu, Petko Hristov Petkov, Mihail Mihaylov Konstantinov.
264		1	_aLondon : _bSpringer London, _c2005.
300			_axiv, 389 páginas 288 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		_aAdvanced Textbooks in Control and Signal Processing, _x1439-2232
500			_aSpringer eBooks
505	0		_aBasic Methods and Theory -- Modelling of Uncertain Systems -- Robust Design Specifications -- ??Design -- ??Loop-shaping Design Procedures -- ?-Analysis and Synthesis -- Lower-order Controllers -- Design Examples -- Robust Control of a Mass-Damper-Spring System -- A Triple Inverted Pendulum Control-system Design -- Robust Control of a Hard Disk Drive -- Robust Control of a Distillation Column -- Robust Control of a Rocket -- Robust Control of a Flexible-Link Manipulator.
520			_aRobustness is often of crucial importance in control system design. Real engineering systems are vulnerable to external disturbance and measurement noise and there are always discrepancies between mathematical models used for design and the actual system in practice. Robust Control Design with MATLAB® helps you learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples ranging from teaching-laboratory experiments, such as a mass–damper–spring assembly, to complex systems like a flexible-link manipulator are given detailed presentation. All the design exercises are conducted using MATLAB® Robust Control Toolbox, Control System Toolbox and Simulink®. By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing you quickly to move on with your own challenges. Features: • Hands-on, tutorial presentation giving you the opportunity to repeat the designs presented and easily to modify them for your own programs. • An abundance of examples illustrating the most important steps in robust design. Robust Control Design with MATLAB® is for graduate students and practising engineers who want to learn how to deal with robust control design problems without spending a lot of time in researching complex theoretical developments. The demonstrations are current for MATLAB® version 7.01, Robust Control Toolbox version 3.0, Control System Toolbox version 6.1 and Simulink® version 6.1.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aPetkov, Petko Hristov. _eautor _9323540
700	1		_aKonstantinov, Mihail Mihaylov. _eautor _9323541
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781852339838
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b135806 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942			_c14
999			_c292011 _d292011