Pregled bibliografske jedinice broj: 738177
A Computational Approach to Parameter Identification of Spatially Distributed Nonlinear Systems with Unknown Initial Conditions
A Computational Approach to Parameter Identification of Spatially Distributed Nonlinear Systems with Unknown Initial Conditions // 2014 IEEE Symposium Series on Computational Intelligence
Orlando (FL), Sjedinjene Američke Države: Institute of Electrical and Electronics Engineers (IEEE), 2014. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
A Computational Approach to Parameter Identification of Spatially Distributed Nonlinear Systems with Unknown Initial Conditions
Autori
Kasać, Josip ; Milić, Vladimir ; Stepanić, Josip ; Mester, Gyula
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2014 IEEE Symposium Series on Computational Intelligence
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2014
ISBN
978-1-4799-4465-1
Skup
IEEE Symposium Series on Computational Intelligence
Mjesto i datum
Orlando (FL), Sjedinjene Američke Države, 09.12.2014. - 12.12.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Spatially Distributed Nonlinear Systems; Parameter Identification; Dynamic Optimization
Sažetak
In this paper, a high-precision algorithm for parameter identification of nonlinear multivariable dynamic systems is proposed. The proposed computational approach is based on the following assumptions: a) system is nonlinearly parameterized by a vector of unknown system parameters ; b) only partial measurement of system state is available ; c) there are no state observers ; d) initial conditions are unknown except for measurable system states. The identification problem is formulated as a continuous dynamic optimization problem which is discretized by higher-order Adams method and numerically solved by a backward-in-time recurrent algorithm which is similar to the backpropagation-through-time (BPTT) algorithm. The proposed algorithm is especially effective for identification of homogenous spatially distributed nonlinear systems what is demonstrated on the parameter identification of a multi-degree-of-freedom torsional system with nonlinearly parameterized elastic forces, unknown initial velocities and positions measurement only.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
HRZZ-UIP-2013-11-9354 - Upravljanje prostorno distribuiranim dinamičkim sustavima (ConDis) (Jokić, Andrej, HRZZ - 2013-11) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb