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| 001 | 978-3-031-73758-9 | ||
| 003 | DE-He213 | ||
| 005 | 20251030113304.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 241109s2024 sz | s |||| 0|eng d | ||
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_a9783031737589 _9978-3-031-73758-9 |
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_a10.1007/978-3-031-73758-9 _2doi |
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_aPBT _2bicssc |
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| 100 | 1 |
_aLevanony, David. _eauthor. _0(orcid)0000-0002-4332-8925 _1https://orcid.org/0000-0002-4332-8925 _4aut _4http://id.loc.gov/vocabulary/relators/aut _987228 |
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| 245 | 1 | 0 |
_aStochastic Lagrangian Adaptation _h[electronic resource] / _cby David Levanony, Peter E. Caines. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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| 300 |
_aVI, 77 p. _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 Mathematics, _x2191-8201 |
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| 505 | 0 | _aIntroduction -- Problem Statement -- Asymptotic Maximum Likelihood Identification -- Geometric Results -- Lagrangian Adaptation -- Proof of Theorem 5.2 -- Index. | |
| 520 | _aThis book introduces a cutting-edge continuous time stochastic linear quadratic (LQ) adaptive control algorithm for fully observed linear stochastic systems with unknown parameters. The adaptive estimation algorithm is engineered to drive the maximum likelihood estimate into the set of parameters representing the true closed-loop dynamics. By incorporating a performance monitoring feature, this approach ensures that the estimate converges to the true system parameters. Concurrently, it delivers optimal long-term LQ closed-loop performance. This groundbreaking work offers a significant advancement in the field of stochastic control systems. | ||
| 650 | 0 |
_aStochastic processes. _976770 |
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| 650 | 1 | 4 |
_aStochastic Systems and Control. _987229 |
| 700 | 1 |
_aCaines, Peter E. _eauthor. _0(orcid)0000-0002-5248-9456 _1https://orcid.org/0000-0002-5248-9456 _4aut _4http://id.loc.gov/vocabulary/relators/aut _987230 |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031737572 |
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_iPrinted edition: _z9783031737596 |
| 830 | 0 |
_aSpringerBriefs in Mathematics, _x2191-8201 _970788 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-73758-9 |
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