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State observers for model predictive control

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dc.title State observers for model predictive control en
dc.contributor.author Chalupa, Petr
dc.contributor.author Januška, Peter
dc.contributor.author Novák, Jakub
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783319005416
dc.date.issued 2013
utb.relation.volume 210
dc.citation.spage 295
dc.citation.epage 303
dc.type article
dc.language.iso en
dc.publisher Springer en
dc.identifier.doi 10.1007/978-3-319-00542-3_30
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-00542-3_30
dc.subject FIR filter en
dc.subject IIR filter en
dc.subject Model predictive control en
dc.subject State observer en
dc.description.abstract 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-time deployment. 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. © Springer International Publishing Switzerland 2013. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003436
utb.identifier.obdid 43869949
utb.identifier.scopus 2-s2.0-84880344184
utb.source j-scopus
dc.date.accessioned 2013-08-02T09:10:28Z
dc.date.available 2013-08-02T09:10:28Z
utb.contributor.internalauthor Chalupa, Petr
utb.contributor.internalauthor Januška, Peter
utb.contributor.internalauthor Novák, Jakub
utb.fulltext.affiliation Petr Chalupa, Peter Januška, and Jakub Novák Petr Chalupa · Peter Januška · Jakub Novák Faculty of Applied Informatics, Tomas Bata University in Zlin, nám. T. G. Masaryka 5555, 760 01 Zlín, Czech Republic e-mail: {chalupa,jnovak}@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089.
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