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Pregled bibliografske jedinice broj: 909844

Self-learning model predictive control based on the sequence of controllable sets


Petrović, Luka; Ileš, Šandor; Matuško, Jadranko
Self-learning model predictive control based on the sequence of controllable sets // Proceedings of 19th International Conference on Electrical Drives and Power Electronics (EDPE 2017.) / Matuško, Jadranko ; Jakopović, Željko (ur.).
Zagreb: Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA), 2017. str. 359-364 doi:10.1109/edpe.2017.8123230 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 909844 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Self-learning model predictive control based on the sequence of controllable sets

Autori
Petrović, Luka ; Ileš, Šandor ; Matuško, Jadranko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 19th International Conference on Electrical Drives and Power Electronics (EDPE 2017.) / Matuško, Jadranko ; Jakopović, Željko - Zagreb : Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA), 2017, 359-364

ISBN
978-1-5386-3379-3

Skup
2017 19th International Conference on Electrical Drives and Power Electronics (EDPE)

Mjesto i datum
Dubrovnik, Hrvatska, 04.10.2017. - 06.10.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
model predictive control, LPV systems, control invariant sets, parameter learning, constrained least squares

Sažetak
This paper presents a stabilizing model predictive control (MPC) algorithm based on the off-line computation of sequence of 1-step controllable sets for linear parameter varying systems and a parameter learning technique that improves its performance. The presented MPC algorithm guarantees non-monotone convergence towards a suitably chosen terminal set regardless of the system parameters, while the parameter learning technique is used to improve performance. The benefits of such an approach are shown in application of the proposed algorithm on a laboratory rotary inverted pendulum system.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
HRZZ-IP-2016-06-2519 - Računalno učinkovito upravljanje učinskim pretvaračima u mikromrežama (PowerCon2) (Matuško, Jadranko, HRZZ ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Luka Petrović (autor)

Avatar Url Šandor Ileš (autor)

Avatar Url Jadranko Matuško (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Petrović, Luka; Ileš, Šandor; Matuško, Jadranko
Self-learning model predictive control based on the sequence of controllable sets // Proceedings of 19th International Conference on Electrical Drives and Power Electronics (EDPE 2017.) / Matuško, Jadranko ; Jakopović, Željko (ur.).
Zagreb: Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA), 2017. str. 359-364 doi:10.1109/edpe.2017.8123230 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Petrović, L., Ileš, Š. & Matuško, J. (2017) Self-learning model predictive control based on the sequence of controllable sets. U: Matuško, J. & Jakopović, Ž. (ur.)Proceedings of 19th International Conference on Electrical Drives and Power Electronics (EDPE 2017.) doi:10.1109/edpe.2017.8123230.
@article{article, author = {Petrovi\'{c}, Luka and Ile\v{s}, \v{S}andor and Matu\v{s}ko, Jadranko}, year = {2017}, pages = {359-364}, DOI = {10.1109/edpe.2017.8123230}, keywords = {model predictive control, LPV systems, control invariant sets, parameter learning, constrained least squares}, doi = {10.1109/edpe.2017.8123230}, isbn = {978-1-5386-3379-3}, title = {Self-learning model predictive control based on the sequence of controllable sets}, keyword = {model predictive control, LPV systems, control invariant sets, parameter learning, constrained least squares}, publisher = {Hrvatsko dru\v{s}tvo za komunikacije, ra\v{c}unarstvo, elektroniku, mjerenja I automatiku (KoREMA)}, publisherplace = {Dubrovnik, Hrvatska} }
@article{article, author = {Petrovi\'{c}, Luka and Ile\v{s}, \v{S}andor and Matu\v{s}ko, Jadranko}, year = {2017}, pages = {359-364}, DOI = {10.1109/edpe.2017.8123230}, keywords = {model predictive control, LPV systems, control invariant sets, parameter learning, constrained least squares}, doi = {10.1109/edpe.2017.8123230}, isbn = {978-1-5386-3379-3}, title = {Self-learning model predictive control based on the sequence of controllable sets}, keyword = {model predictive control, LPV systems, control invariant sets, parameter learning, constrained least squares}, publisher = {Hrvatsko dru\v{s}tvo za komunikacije, ra\v{c}unarstvo, elektroniku, mjerenja I automatiku (KoREMA)}, publisherplace = {Dubrovnik, Hrvatska} }

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