Authors
Piotr Dziwiński, Łukasz Bartczuk, Andrzej Przybył, Eduard D Avedyan
Publication date
2014
Conference
Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II 13
Pages
349-362
Publisher
Springer International Publishing
Description
The paper presents a novel algorithm for identification of significant operating points from non-invasive identification of nonlinear dynamic objects. In the proposed algorithm to identify the unknown parameters of nonlinear dynamic objects in different significant operating points, swarm intelligence supported by a genetic algorithm is used for optimization in continuous domain. Moreover, we propose a new weighted approximation error measure which eliminates the problem of the measurements obtained from non-significant areas. This measure significantly accelerates the process of the parameters identification in comparison with the same algorithm without weights. Performed simulations prove efficiency of the novel algorithm.
Scholar articles
P Dziwiński, Ł Bartczuk, A Przybył, ED Avedyan - Artificial Intelligence and Soft Computing: 13th …, 2014