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| 001 | 9783110729122 | ||
| 003 | DE-B1597 | ||
| 005 | 20240730161643.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr || |||||||| | ||
| 008 | 230502t20222022gw fo d z eng d | ||
| 010 | _a2021950261 | ||
| 020 | _a9783110729122 | ||
| 024 | 7 |
_a10.1515/9783110729122 _2doi |
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| 035 | _a(DE-B1597)572731 | ||
| 035 | _a(OCoLC)1306056412 | ||
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_aDE-B1597 _beng _cDE-B1597 _erda |
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| 041 | 0 | _aeng | |
| 044 |
_agw _cDE |
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| 072 | 7 |
_aTEC004000 _2bisacsh |
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| 245 | 0 | 0 |
_aOutliers in Control Engineering : _bFractional Calculus Perspective / _ced. by Paweł D. Domański, YangQuan Chen, Maciej Ławryńczuk. |
| 264 | 1 |
_aBerlin ; _aBoston : _bDe Gruyter, _c[2022] |
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| 264 | 4 | _c©2022 | |
| 300 | _a1 online resource (X, 262 p.) | ||
| 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 | 0 |
_aFractional Calculus in Applied Sciences and Engineering , _x2509-7210 ; _v10 |
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| 505 | 0 | 0 |
_tFrontmatter -- _tPreface -- _tContents -- _tPart I: Foundations -- _t1 Outliers in control engineering-they exist, like it or not -- _tPart II: Theory -- _t2 On the possibilities of using fractional-order differential calculus in linear and nonlinear model predictive control -- _t3 Stochastic control systems with long-range dependent noise -- _t4 Outlier-robust Kalman filtering framework based on statistical similarity measure -- _t5 Multifractal characteristics of singular signals -- _tPart III: Practice -- _t6 Study on robustness of nonlinear model predictive control performance assessment -- _t7 Causality analysis incorporating outliers information -- _t8 Backlash quantification in control systems using noises with outliers: a benchmark study -- _t9 Control performance assessment of the system with fractional-order dynamics -- _t10 A novel method for control performance assessment with fractional-order signal processing -- _t11 Study on oscillation detection robustness and outlier filtering impact -- _t12 3D outliers in BIM supported electrical cable tracing -- _t13 A radio frequency impedance matching control benchmark and optimal fractional-order stochastic extremum seeking method -- _tIndex |
| 506 | 0 |
_arestricted access _uhttp://purl.org/coar/access_right/c_16ec _fonline access with authorization _2star |
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| 520 | _aOutliers play an important, though underestimated, role in control engineering. Traditionally they are unseen and neglected. In opposition, industrial practice gives frequent examples of their existence and their mostly negative impacts on the control quality. The origin of outliers is never fully known. Some of them are generated externally to the process (exogenous), like for instance erroneous observations, data corrupted by control systems or the effect of human intervention. Such outliers appear occasionally with some unknow probability shifting real value often to some strange and nonsense value. They are frequently called deviants, anomalies or contaminants. In most cases we are interested in their detection and removal. However, there exists the second kind of outliers. Quite often strange looking data observations are not artificial data occurrences. They may be just representatives of the underlying generation mechanism being inseparable internal part of the process (endogenous outliers). In such a case they are not wrong and should be treated with cautiousness, as they may include important information about the dynamic nature of the process. As such they cannot be neglected nor simply removed. The Outlier should be detected, labelled and suitably treated. These activities cannot be performed without proper analytical tools and modeling approaches. There are dozens of methods proposed by scientists, starting from Gaussian-based statistical scoring up to data mining artificial intelligence tools. The research presented in this book presents novel approach incorporating non-Gaussian statistical tools and fractional calculus approach revealing new data analytics applied to this important and challenging task. The proposed book includes a collection of contributions addressing different yet cohesive subjects, like dynamic modelling, classical control, advanced control, fractional calculus, statistical analytics focused on an ultimate goal: robust and outlier-proof analysis. All studied problems show that outliers play an important role and classical methods, in which outlier are not taken into account, do not give good results. Applications from different engineering areas are considered such as semiconductor process control and monitoring, MIMO peltier temperature control and health monitoring, networked control systems, and etc. | ||
| 530 | _aIssued also in print. | ||
| 538 | _aMode of access: Internet via World Wide Web. | ||
| 546 | _aIn English. | ||
| 588 | 0 | _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 02. Mai 2023) | |
| 650 | 4 |
_aAngewandte Mathematik. _964805 |
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| 650 | 4 |
_aFraktionale Infinitesimalrechnung. _977413 |
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| 650 | 4 |
_aQualitätskontrolle. _977414 |
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| 650 | 4 |
_aSteuerungstechnik. _976432 |
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| 650 | 7 |
_aTechnology & Engineering / Automation. _2bisacsh _975266 |
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| 700 | 1 |
_aChambers, Jonathon, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977415 |
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| 700 | 1 |
_aChen, YangQuan, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977416 |
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| 700 | 1 |
_aChen, YangQuan, _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _977416 |
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| 700 | 1 |
_aDomański, Paweł D., _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977417 |
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| 700 | 1 |
_aDomański, Paweł D., _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _977417 |
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| 700 | 1 |
_aDomek, Stefan, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977418 |
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| 700 | 1 |
_aDuncan, Tyrone E., _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977419 |
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| 700 | 1 |
_aFalkowski, Michał, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977420 |
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| 700 | 1 |
_aGuc, Furkan, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977421 |
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| 700 | 1 |
_aHollenbeck, Derek, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977422 |
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| 700 | 1 |
_aHuang, Yulong, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977423 |
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| 700 | 1 |
_aLiu, Kai, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977424 |
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| 700 | 1 |
_aMinati, Ludovico, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977425 |
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| 700 | 1 |
_aOkoński, Michał W., _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977426 |
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| 700 | 1 |
_aOświęcimka, Paweł, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977427 |
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| 700 | 1 |
_aPasik-Duncan, Bozenna, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977428 |
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| 700 | 1 |
_aRocki, Dariusz, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977429 |
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| 700 | 1 |
_aRodriguez, Carlos, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977430 |
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| 700 | 1 |
_aShi, Peng, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977431 |
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| 700 | 1 |
_aViola, Jairo, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977432 |
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| 700 | 1 |
_aZhang, Yonggang, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977433 |
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| 700 | 1 |
_aZhao, Yuxin, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977434 |
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| 700 | 1 |
_aZhu, Fengchi, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977435 |
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| 700 | 1 |
_aŁawryńczuk, Maciej, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977436 |
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| 700 | 1 |
_aŁawryńczuk, Maciej, _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _977436 |
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