000			03759nam a22003735i 4500
001			287565
003			MX-SnUAN
005			20160429154552.0
007			cr nn 008mamaa
008			150903s2012 xxk| o |||| 0|eng d
020			_a9781447123330 _99781447123330
024	7		_a10.1007/9781447123330 _2doi
035			_avtls000339559
039		9	_a201509030839 _bVLOAD _c201404300402 _dVLOAD _y201402060938 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTJ212-225
100	1		_aTakács, Gergely. _eautor _9316804
245	1	0	_aModel Predictive Vibration Control : _bEfficient Constrained MPC Vibration Control for Lightly Damped Mechanical Structures / _cby Gergely Takács, Boris Roha?-Ilkiv.
264		1	_aLondon : _bSpringer London, _c2012.
300			_axxxvii, 515 páginas 170 ilustraciones, 4 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		_a1. Introduction -- 2. Basics of Vibration Dynamics -- 3. Smart Materials in Active Vibration Control -- 4. Algorithms in Active Vibration Control -- 5. Laboratory Demonstration Hardware for AVC -- 6. Basic MPC Formulation -- 7. Stability and Feasibility of MPC -- 8. Efficient MPC Algorithms -- 9. Applications of Model Predictive Vibration Control -- 10. MPC Implementation for Vibration Control -- 11. Simulation Study of Model Predictive Vibration Control -- 12. Experimental Model Predictive Vibration Control -- A. FE Modeling of the Active Structure -- B. MPC Code Implementation Details.
520			_aReal-time model predictive controller (MPC) implementation in active vibration control (AVC) is often rendered difficult by fast sampling speeds and extensive actuator-deformation asymmetry. If the control of lightly damped mechanical structures is assumed, the region of attraction containing the set of allowable initial conditions requires a large prediction horizon, making the already computationally demanding on-line process even more complex. Model Predictive Vibration Control provides insight into the predictive control of lightly damped vibrating structures by exploring computationally efficient algorithms which are capable of low frequency vibration control with guaranteed stability and constraint feasibility. In addition to a theoretical primer on active vibration damping and model predictive control, Model Predictive Vibration Control provides a guide through the necessary steps in understanding the founding ideas of predictive control applied in AVC such as: ·         the implementation of computationally efficient algorithms ·         control strategies in simulation and experiment and ·         typical hardware requirements for piezoceramics actuated smart structures.   The use of a simple laboratory model and inclusion of over 170  illustrations provides readers with clear and methodical explanations, making Model Predictive Vibration Control the ideal support material for graduates, researchers and industrial practitioners with an interest in efficient predictive control to be utilized in active vibration attenuation.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aRoha?-Ilkiv, Boris. _eautor _9316805
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781447123323
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4471-2333-0 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c287565 _d287565