State Observers for Model Predictive Control
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43869798" target="_blank" >RIV/70883521:28140/13:43869798 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-00542-3_30" target="_blank" >http://dx.doi.org/10.1007/978-3-319-00542-3_30</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-00542-3_30" target="_blank" >10.1007/978-3-319-00542-3_30</a>
Alternative languages
Result language
angličtina
Original language name
State Observers for Model Predictive Control
Original language description
This paper deals with state observers with respect to their usage in the model predictive control (MPC) based on state space model of the controlled system. In case of immeasurable states a state observer (filter) is used to calculate current states in each control step. The paper is especially focused to finite impulse filters (FIR) as these filters do not require knowledge of initial state - contrary to infinite impulse response (IIR) filters. Several linear filters are tested and compared with proposed filters based on quadratic and linear programming. Different filter lengths (horizons) were tested to investigate filters' performance. Filters were tested in very noisy conditions to evaluate filter robustness and therefore its usability in real-timedeployment. The simulations were carried out using data from a real-time laboratory (Amira DR300 Servo system). All the measurements and simulations were carried out in MATLAB/Simulink environment.
Czech name
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Czech description
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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/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems
ISBN
978-3-319-00541-6
ISSN
2194-5357
e-ISSN
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Number of pages
9
Pages from-to
295-303
Publisher name
Springer-Verlag Berlin
Place of publication
Heidelberg
Event location
Ostrava
Event date
Jun 3, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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