Abstract
The paper presents a new method of the intelligent modeling of the nonlinear dynamic objects with online detection of significant operating points from non-invasive measurements of the nonlinear dynamic object. The PSO-GA algorithm is used to identify the unknown values of the system matrix describing the nonlinear dynamic object in the detected operating points. The Takagi-Sugeno fuzzy system determines the values of the system matrix in the detected operating points. The new method was tested on the nonlinear electrical circuit with the three operating points. The obtained results prove efficiency of the new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points.
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CITATION STYLE
Dziwiński, P., & Avedyan, E. D. (2016). A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9693, pp. 293–305). Springer Verlag. https://doi.org/10.1007/978-3-319-39384-1_25
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