| 000 | 03281nam a22005775i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-27963-3 | ||
| 003 | DE-He213 | ||
| 005 | 20220801222209.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160331s2016 sz | s |||| 0|eng d | ||
| 020 |
_a9783319279633 _9978-3-319-27963-3 |
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| 024 | 7 |
_a10.1007/978-3-319-27963-3 _2doi |
|
| 050 | 4 | _aTJ212-225 | |
| 072 | 7 |
_aTJFM _2bicssc |
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| 072 | 7 |
_aGPFC _2bicssc |
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_aTEC004000 _2bisacsh |
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| 072 | 7 |
_aTJFM _2thema |
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| 082 | 0 | 4 |
_a629.8312 _223 |
| 082 | 0 | 4 |
_a003 _223 |
| 100 | 1 |
_aGallieri, Marco. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _960228 |
|
| 245 | 1 | 0 |
_aLasso-MPC – Predictive Control with ℓ1-Regularised Least Squares _h[electronic resource] / _cby Marco Gallieri. |
| 250 | _a1st ed. 2016. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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| 300 |
_aXXX, 187 p. 64 illus., 54 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5061 |
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| 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 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 | 0 |
_aControl engineering. _931970 |
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| 650 | 0 |
_aSystem theory. _93409 |
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| 650 | 0 |
_aControl theory. _93950 |
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| 650 | 0 |
_aComputer simulation. _95106 |
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| 650 | 1 | 4 |
_aControl and Systems Theory. _931972 |
| 650 | 2 | 4 |
_aSystems Theory, Control . _931597 |
| 650 | 2 | 4 |
_aComputer Modelling. _960229 |
| 710 | 2 |
_aSpringerLink (Online service) _960230 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319279619 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319279626 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319802473 |
| 830 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5061 _960231 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-27963-3 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c80504 _d80504 |
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