dc.contributor.author | COJUHARI, Irina | |
dc.contributor.author | FIODOROV, Ion | |
dc.contributor.author | IZVOREANU, Bartolomeu | |
dc.contributor.author | MORARU, Dumitru | |
dc.date.accessioned | 2020-11-04T07:21:15Z | |
dc.date.available | 2020-11-04T07:21:15Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | COJUHARI, Irina, FIODOROV, Ion, IZVOREANU, Bartolomeu, MORARU, Dumitru. Synthesis of the minimum variance control law for the linear time variant processes. In: CAIM 2018: The 26th Conference on Applied and Industrial Mathematics: Book of Abstracts, Technical University of Moldova, September 20-23, 2018. Chişinău: Bons Offices, 2018, pp. 71-73. | en_US |
dc.identifier.uri | http://repository.utm.md/handle/5014/11085 | |
dc.description | Only Abstract | en_US |
dc.description.abstract | Above the linear process can act the disturbance signals, so kind of processes can be described by the parametrical models, where the most used take part from the ARMAX class (Auto-Regressive Moving Average with eXogenous control). The general model of the class is the ARMAX model [na, nb, bc, nk], which in fact represents that the output signal is obtained as a result of the superposition between a useful signal obtained by filtering the input signal and a parasitic signal obtained by filtering the white noise. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Bons Offices | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | minimum variance control law | en_US |
dc.subject | linear time | en_US |
dc.subject | Auto-Regressive Moving Average with eXogenous control model | en_US |
dc.subject | disturbance signals | en_US |
dc.title | Synthesis of the minimum variance control law for the linear time variant processes | en_US |
dc.type | Article | en_US |
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