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State space MPC using state observers

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dc.title State space MPC using state observers en
dc.contributor.author Chalupa, Petr
dc.contributor.author Novák, Jakub
dc.contributor.author Januška, Peter
dc.relation.ispartof International Journal of Circuits, Systems and Signal Processing
dc.identifier.issn 1998-4464 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2014
utb.relation.volume 8
dc.citation.spage 9
dc.citation.epage 14
dc.type article
dc.language.iso en
dc.publisher North Atlantic University Union (NAUN)
dc.relation.uri http://www.naun.org/cms.action?id=7621
dc.subject FIR filters en
dc.subject Model predictive control en
dc.subject Noise en
dc.subject State observers en
dc.description.abstract The article is focused on state observers and their usage in model predictive control (MPC). The observers are used to track and reconstruct states of a model of a controlled system. Linear time-invariant (LTI) state space models are used in the article because this type of models is often used in different MPC techniques If the states of the controlled system are immeasurable 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. Different observers are tested and compared with proposed filters based on quadratic and linear programming. Filters were used in a very noisy environment to evaluate filter robustness. Then MPC using promising filters was applied to a three tank model Amira DTS 200. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003722
utb.identifier.obdid 43871638
utb.identifier.scopus 2-s2.0-84896952628
utb.source j-scopus
dc.date.accessioned 2014-05-07T13:49:28Z
dc.date.available 2014-05-07T13:49:28Z
utb.contributor.internalauthor Chalupa, Petr
utb.contributor.internalauthor Novák, Jakub
utb.contributor.internalauthor Januška, Peter
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