000			03947nam a22005055i 4500
001			978-1-4471-2333-0
003			DE-He213
005			20140220083235.0
007			cr nn 008mamaa
008			120303s2012 xxk| s |||| 0|eng d
020			_a9781447123330 _9978-1-4471-2333-0
024	7		_a10.1007/978-1-4471-2333-0 _2doi
050		4	_aTJ212-225
072		7	_aTJFM _2bicssc
072		7	_aTEC004000 _2bisacsh
082	0	4	_a629.8 _223
100	1		_aTakács, Gergely. _eauthor.
245	1	0	_aModel Predictive Vibration Control _h[electronic resource] : _bEfficient Constrained MPC Vibration Control for Lightly Damped Mechanical Structures / _cby Gergely Takács, Boris Rohaľ-Ilkiv.
264		1	_aLondon : _bSpringer London, _c2012.
300			_aXXXVII, 515p. 170 illus., 4 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
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.
650		0	_aEngineering.
650		0	_aSystems theory.
650		0	_aComputer science _xMathematics.
650		0	_aVibration.
650	1	4	_aEngineering.
650	2	4	_aControl.
650	2	4	_aMathematical Modeling and Industrial Mathematics.
650	2	4	_aVibration, Dynamical Systems, Control.
650	2	4	_aComputational Intelligence.
650	2	4	_aComputational Mathematics and Numerical Analysis.
650	2	4	_aSystems Theory, Control.
700	1		_aRohaľ-Ilkiv, Boris. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781447123323
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4471-2333-0
912			_aZDB-2-ENG
999			_c100653 _d100653