Pregled bibliografske jedinice broj: 909844
Self-learning model predictive control based on the sequence of controllable sets
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