Novelty Detection in System Monitoring and Control with HONU
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F16%3A00305519" target="_blank" >RIV/68407700:21220/16:00305519 - isvavai.cz</a>
Result on the web
<a href="http://www.igi-global.com/chapter/novelty-detection-in-system-monitoring-and-control-with-honu/152097" target="_blank" >http://www.igi-global.com/chapter/novelty-detection-in-system-monitoring-and-control-with-honu/152097</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4018/978-1-5225-0063-6.ch003" target="_blank" >10.4018/978-1-5225-0063-6.ch003</a>
Alternative languages
Result language
angličtina
Original language name
Novelty Detection in System Monitoring and Control with HONU
Original language description
With focus on Higher Order Neural Units (HONUs), this chapter reviews two recently introduced adaptive novelty detection algorithms based on supervised learning of HONU with extension to adaptive monitoring of existing control loops. Further, the chapter also introduces a novel approach for novelty detection via local model monitoring with Self-organizing Map (SOM) and HONU. Further, it is discussed how these principles can be used to distinguish between external and internal perturbations of identified plant or control loops. The simulation result will demonstrates the potentials of the algorithms for single-input plants as well as for some representative of multiple-input plants and for the improvement of their control.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů