000 | 03003nam a22006135i 4500 | ||
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001 | 978-3-319-39835-8 | ||
003 | DE-He213 | ||
005 | 20220801213710.0 | ||
007 | cr nn 008mamaa | ||
008 | 160527s2016 sz | s |||| 0|eng d | ||
020 |
_a9783319398358 _9978-3-319-39835-8 |
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024 | 7 |
_a10.1007/978-3-319-39835-8 _2doi |
|
050 | 4 | _aTJ212-225 | |
072 | 7 |
_aTJFM _2bicssc |
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_aGPFC _2bicssc |
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_a629.8312 _223 |
082 | 0 | 4 |
_a003 _223 |
100 | 1 |
_aVargas, Alessandro N. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _933746 |
|
245 | 1 | 0 |
_aAdvances in the Control of Markov Jump Linear Systems with No Mode Observation _h[electronic resource] / _cby Alessandro N. Vargas, Eduardo F. Costa, João B. R. do Val. |
250 | _a1st ed. 2016. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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300 |
_aV, 48 p. 8 illus., 6 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 |
_aSpringerBriefs in Control, Automation and Robotics, _x2192-6794 |
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505 | 0 | _aPreliminaries -- Finite-Time Control Problem -- Approximation of the Optimal Long-Run Average-Cost Control Problem -- References. | |
520 | _aThis brief broadens readers’ understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS). It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real-time application for controlling the speed of direct current motors, illustrating the practical usefulness of MJLS. Particularly, it offers novel insights into the control of systems when the controller does not have access to the Markovian mode. | ||
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 |
_aProbabilities. _94604 |
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650 | 0 |
_aOperator theory. _933747 |
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650 | 1 | 4 |
_aControl and Systems Theory. _931972 |
650 | 2 | 4 |
_aSystems Theory, Control . _931597 |
650 | 2 | 4 |
_aProbability Theory. _917950 |
650 | 2 | 4 |
_aOperator Theory. _933748 |
700 | 1 |
_aCosta, Eduardo F. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _933749 |
|
700 | 1 |
_ado Val, João B. R. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _933750 |
|
710 | 2 |
_aSpringerLink (Online service) _933751 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319398341 |
776 | 0 | 8 |
_iPrinted edition: _z9783319398365 |
830 | 0 |
_aSpringerBriefs in Control, Automation and Robotics, _x2192-6794 _933752 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-39835-8 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c75493 _d75493 |