000			02877nam a22004935i 4500
001			978-3-319-27963-3
003			DE-He213
005			20200421112555.0
007			cr nn 008mamaa
008			160331s2016 gw | s |||| 0|eng d
020			_a9783319279633 _9978-3-319-27963-3
024	7		_a10.1007/978-3-319-27963-3 _2doi
050		4	_aTJ212-225
072		7	_aTJFM _2bicssc
072		7	_aTEC004000 _2bisacsh
082	0	4	_a629.8 _223
100	1		_aGallieri, Marco. _eauthor.
245	1	0	_aLasso-MPC - Predictive Control with �1-Regularised Least Squares _h[electronic resource] / _cby Marco Gallieri.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016.
300			_aXXX, 187 p. 64 illus., 54 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053
505	0		_aIntroduction -- Background -- Principles of LASSO MPC -- Version 1: `1-Input Regularised Quadratic MPC.-  Version 2: LASSO MPC with stabilising terminal cost -- Design of LASSO MPC for prioritised and auxiliary actuators -- Robust Tracking with Soft-constraints -- Ship roll reduction with rudder and fins -- Concluding Remarks.
520			_aThis thesis proposes a novel Model Predictive Control (MPC) strategy, which modifies the usual MPC cost function in order to achieve a desirable sparse actuation. It features an �1-regularised least squares loss function, in which the control error variance competes with the sum of input channels magnitude (or slew rate) over the whole horizon length. While standard control techniques lead to continuous movements of all actuators, this approach enables a selected subset of actuators to be used, the others being brought into play in exceptional circumstances. The same approach can also be used to obtain asynchronous actuator interventions, so that control actions are only taken in response to large disturbances. This thesis presents a straightforward and systematic approach to achieving these practical properties, which are ignored by mainstream control theory.
650		0	_aEngineering.
650		0	_aComputer simulation.
650		0	_aSystem theory.
650		0	_aControl engineering.
650	1	4	_aEngineering.
650	2	4	_aControl.
650	2	4	_aSystems Theory, Control.
650	2	4	_aSimulation and Modeling.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319279619
830		0	_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-27963-3
912			_aZDB-2-ENG
942			_cEBK
999			_c59065 _d59065