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| 001 | 978-981-10-8267-2 | ||
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| 005 | 20220801215655.0 | ||
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| 008 | 180416s2018 si | s |||| 0|eng d | ||
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_a10.1007/978-981-10-8267-2 _2doi |
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_aShen, Dong. _eauthor. _0(orcid)0000-0003-1063-1351 _1https://orcid.org/0000-0003-1063-1351 _4aut _4http://id.loc.gov/vocabulary/relators/aut _945784 |
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| 245 | 1 | 0 |
_aIterative Learning Control with Passive Incomplete Information _h[electronic resource] : _bAlgorithms Design and Convergence Analysis / _cby Dong Shen. |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2018. |
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| 300 |
_aXIV, 294 p. 89 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 520 | _aThis book presents an in-depth discussion of iterative learning control (ILC) with passive incomplete information, highlighting the incomplete input and output data resulting from practical factors such as data dropout, transmission disorder, communication delay, etc.—a cutting-edge topic in connection with the practical applications of ILC. It describes in detail three data dropout models: the random sequence model, Bernoulli variable model, and Markov chain model—for both linear and nonlinear stochastic systems. Further, it proposes and analyzes two major compensation algorithms for the incomplete data, namely, the intermittent update algorithm and successive update algorithm. Incomplete information environments include random data dropout, random communication delay, random iteration-varying lengths, and other communication constraints. With numerous intuitive figures to make the content more accessible, the book explores several potential solutions to this topic, ensuring that readers are not only introduced to the latest advances in ILC for systems with random factors, but also gain an in-depth understanding of the intrinsic relationship between incomplete information environments and essential tracking performance. It is a valuable resource for academics and engineers, as well as graduate students who are interested in learning about control, data-driven control, networked control systems, and related fields. | ||
| 650 | 0 |
_aControl engineering. _931970 |
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| 650 | 0 |
_aMultibody systems. _96018 |
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| 650 | 0 |
_aVibration. _96645 |
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| 650 | 0 |
_aMechanics, Applied. _93253 |
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| 650 | 0 |
_aEngineering mathematics. _93254 |
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| 650 | 0 |
_aEngineering—Data processing. _931556 |
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| 650 | 1 | 4 |
_aControl and Systems Theory. _931972 |
| 650 | 2 | 4 |
_aMultibody Systems and Mechanical Vibrations. _932157 |
| 650 | 2 | 4 |
_aMathematical and Computational Engineering Applications. _931559 |
| 710 | 2 |
_aSpringerLink (Online service) _945785 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811082665 |
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_iPrinted edition: _z9789811082689 |
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_iPrinted edition: _z9789811341052 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-10-8267-2 |
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| 912 | _aZDB-2-SXE | ||
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