Parameter optimization in large-scale dynamical systems: a method of contractive mapping
A new method is given to optimize parameters in dynamical systems by supplementing conventional methods with a procedure of contractive mapping. The dynamical system is first decoupled in order to reduce the search size. The reference curves and the simulation curves are obtained with the pre-optimization. A contractive mapping procedure is designed to asymptotically reduce the differences between the curves, whereby the parameters are further optimized. Numerical results indicate that the present method can solve some large-scale problems that are difficult for the previous methods.
Year of publication: |
2004
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Authors: | Wang, Guanyu |
Published in: |
Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 66.2004, 6, p. 565-576
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Publisher: |
Elsevier |
Subject: | Parameter optimization | Data-fitting | Contractive mapping | Gauss–Newton method |
Saved in:
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