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| 003 | ES-MaUEC | ||
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| 008 | 160331s2016 gw | s |||| 0|eng d | ||
| 020 | _a9783319279633 | ||
| 040 | _aES-MaUEC | ||
| 050 | 4 |
_aTJ217.6 _b.G355 2016 EB |
|
| 100 | 1 |
_aGallieri, Marco _998314 _0Local |
|
| 245 | 1 | 0 |
_aLasso-MPC : _bPredictive Control with ℓ1-Regularised Least Squares _cby Marco Gallieri |
| 260 |
_aCham _bSpringer International Publishing _c2016 |
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| 300 |
_a1 recurso en línea (XXX, 187 p.) _b64 ilustraciones, 54 ilustraciones col. |
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| 336 |
_aTexto (visual) _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 490 | 1 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research _x2190-5053 |
|
| 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 ℓ1-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 | 7 |
_aControl automático _0comprobar BNE19900978127 _2embne _9405125 |
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| 830 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research _x2190-5053 _9133434 |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-27963-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 901 | _ai9783319279633 | ||
| 907 |
_a.b12946709 _b10-10-17 _c21-11-16 |
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_2lcc _cLE |
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| 988 | _aEBOOK, EBSPRINGER | ||
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