Using of Neural Network Based Identification for Short Sampling Period in Adaptive Control
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F07%3APU69904" target="_blank" >RIV/00216305:26220/07:PU69904 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Using of Neural Network Based Identification for Short Sampling Period in Adaptive Control
Original language description
The new approach to analysis of on-line identification methods based on one-step-ahead prediction clears up their sensitivity to disturbances in control loop and explain why should be neural network based identification better then classical by using ofshort sampling period. The use of short sampling period in adaptive control has not been described properly when controlling the real process by adaptive controller. On one hand faster disturbance rejection due to short sampling period can be an advantage but on the other hand it brings us some practical problems. Particularly, quantization error and finite numerical precision of industrial controller must be considered in the real process control. We concentrate our attention on dealing with adverse effects that work on real-time identification of process, especially quantization. It is shown; that a neural network applied to on-line identification process produces more stable solution in the rapid sampling.
Czech name
Použití neuronových sítí v adaptivním řízení při krátké periodě vzorkování
Czech description
Nový přístup pro identifikaci dynamických systémů s neuronovými sítěmi dovoluje použití krátké periody vzorkování.
Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F06%2F1132" target="_blank" >GA102/06/1132: Softcomputing in Control</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Systems Theory and Applications
ISBN
978-960-8457-90-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
217-222
Publisher name
WSEAS
Place of publication
Řecko
Event location
Crete, Greece
Event date
Jul 23, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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