Initial Conditions Optimization of Nonlinear Dynamic Systems with Applications to Output Identification and Control (CROSBI ID 588222)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kasać, Josip ; Milić, Vladimir ; Novaković, Branko ; Majetić, Dubravko ; Brezak, Danko
engleski
Initial Conditions Optimization of Nonlinear Dynamic Systems with Applications to Output Identification and Control
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.
Optimal control; Initial Conditions Optimization; Output Controller Design; Parameter Identification
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Podaci o prilogu
1241-1246.
2012.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 20th Mediterranean Conference on Control and Automation
978-1-4673-2529-5
Podaci o skupu
20th Mediterranean Conference on Control and Automation
predavanje
03.07.2012-06.07.2012
Barcelona, Španjolska