Outliers in Control Engineering : (Record no. 84516)
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fixed length control field | 09538nam a22011295i 4500 |
001 - CONTROL NUMBER | |
control field | 9783110729122 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730161643.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 230502t20222022gw fo d z eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783110729122 |
041 0# - LANGUAGE CODE | |
Language code of text/sound track or separate title | |
245 00 - TITLE STATEMENT | |
Title | Outliers in Control Engineering : |
Sub Title | Fractional Calculus Perspective / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | 1 online resource (X, 262 p.) |
490 0# - SERIES STATEMENT | |
Series statement | Fractional Calculus in Applied Sciences and Engineering , |
520 ## - SUMMARY, ETC. | |
Summary, etc | Outliers 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. |
700 1# - AUTHOR 2 | |
Author 2 | Chambers, Jonathon, |
700 1# - AUTHOR 2 | |
Author 2 | Chen, YangQuan, |
700 1# - AUTHOR 2 | |
Author 2 | Chen, YangQuan, |
700 1# - AUTHOR 2 | |
Author 2 | Domański, Paweł D., |
700 1# - AUTHOR 2 | |
Author 2 | Domański, Paweł D., |
700 1# - AUTHOR 2 | |
Author 2 | Domek, Stefan, |
700 1# - AUTHOR 2 | |
Author 2 | Duncan, Tyrone E., |
700 1# - AUTHOR 2 | |
Author 2 | Falkowski, Michał, |
700 1# - AUTHOR 2 | |
Author 2 | Guc, Furkan, |
700 1# - AUTHOR 2 | |
Author 2 | Hollenbeck, Derek, |
700 1# - AUTHOR 2 | |
Author 2 | Huang, Yulong, |
700 1# - AUTHOR 2 | |
Author 2 | Liu, Kai, |
700 1# - AUTHOR 2 | |
Author 2 | Minati, Ludovico, |
700 1# - AUTHOR 2 | |
Author 2 | Okoński, Michał W., |
700 1# - AUTHOR 2 | |
Author 2 | Oświęcimka, Paweł, |
700 1# - AUTHOR 2 | |
Author 2 | Pasik-Duncan, Bozenna, |
700 1# - AUTHOR 2 | |
Author 2 | Rocki, Dariusz, |
700 1# - AUTHOR 2 | |
Author 2 | Rodriguez, Carlos, |
700 1# - AUTHOR 2 | |
Author 2 | Shi, Peng, |
700 1# - AUTHOR 2 | |
Author 2 | Viola, Jairo, |
700 1# - AUTHOR 2 | |
Author 2 | Zhang, Yonggang, |
700 1# - AUTHOR 2 | |
Author 2 | Zhao, Yuxin, |
700 1# - AUTHOR 2 | |
Author 2 | Zhu, Fengchi, |
700 1# - AUTHOR 2 | |
Author 2 | Ławryńczuk, Maciej, |
700 1# - AUTHOR 2 | |
Author 2 | Ławryńczuk, Maciej, |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1515/9783110729122 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://www.degruyter.com/isbn/9783110729122 |
856 42 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://www.degruyter.com/document/cover/isbn/9783110729122/original |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Berlin ; |
-- | Boston : |
-- | De Gruyter, |
-- | [2022] |
264 #4 - | |
-- | ©2022 |
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-- | text |
-- | txt |
-- | rdacontent |
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-- | computer |
-- | c |
-- | rdamedia |
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-- | online resource |
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-- | rdacarrier |
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-- | text file |
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-- | rda |
588 0# - | |
-- | Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Mai 2023) |
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Angewandte Mathematik. |
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Fraktionale Infinitesimalrechnung. |
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Qualitätskontrolle. |
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Steuerungstechnik. |
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Technology & Engineering / Automation. |
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-- | 978-3-11-076682-0 DG Plus DeG Package 2022 Part 1 |
-- | 2022 |
912 ## - | |
-- | 978-3-11-099389-9 EBOOK PACKAGE COMPLETE 2022 English |
-- | 2022 |
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-- | 978-3-11-099422-3 EBOOK PACKAGE Engineering, Computer Sciences 2022 English |
-- | 2022 |
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