Pregled bibliografske jedinice broj: 587111
Initial Conditions Optimization of Nonlinear Dynamic Systems with Applications to Output Identification and Control
Initial Conditions Optimization of Nonlinear Dynamic Systems with Applications to Output Identification and Control // Proceedings of the 20th Mediterranean Conference on Control and Automation
Barcelona, Španjolska, 2012. str. 1241-1246 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 587111 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Initial Conditions Optimization of Nonlinear Dynamic Systems with Applications to Output Identification and Control
Autori
Kasać, Josip ; Milić, Vladimir ; Novaković, Branko ; Majetić, Dubravko ; Brezak, Danko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 20th Mediterranean Conference on Control and Automation
/ - , 2012, 1241-1246
ISBN
978-1-4673-2529-5
Skup
20th Mediterranean Conference on Control and Automation
Mjesto i datum
Barcelona, Španjolska, 03.07.2012. - 06.07.2012
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Optimal control; Initial Conditions Optimization; Output Controller Design; Parameter Identification
Sažetak
The paper presents a gradient-based algorithm for initial conditions optimization of nonlinear multivariable systems with boundary and state vectors constraints. The algorithm has a backward-in-time recurrent structure similar to the backpropagation-through-time (BPTT) algorithm, which is mostly used as a learning algorithm for dynamic neural networks. It is shown that dynamic parameter optimization problem can be formulated as the initial conditions optimization problem. Further, it is shown that output parameter identification and output controller design problems can be formulated as dynamic parameter optimization problem. The effectiveness of the proposed algorithm is demonstrated on the problem of output identification and control of a nonlinear two-mass torsional system.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
120-1201842-1839 - Optimalno upravljanje energijom u fluidnoj tehnici i elektromehaničkim sustavima (Šitum, Željko, MZOS ) ( CroRIS)
120-1201842-3048 - Umjetna inteligencija u upravljanju složenim nelinearnim dinamičkim sustavima (Kasać, Josip) ( CroRIS)
120-1201948-1945 - Inteligentno vođenje obradnih sustava (Majetić, Dubravko, MZOS ) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
Profili:
Vladimir Milić
(autor)
Branko Novaković
(autor)
Dubravko Majetić
(autor)
Danko Brezak
(autor)
Josip Kasać
(autor)