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Synthesis of the minimum variance control law for the linear time variant processes

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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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