@article{Nikolic_Antic_Dankovic_Milovanovic_Mitic_Milovanovic_Djekic_2022, title={Generalized Quasi-Orthogonal Functional Networks Applied in Parameter Sensitivity Analysis of Complex Dynamical Systems}, volume={28}, url={https://eejournal.ktu.lt/index.php/elt/article/view/31110}, DOI={10.5755/j02.eie.31110}, abstractNote={<p>This paper presents one possible application of generalized quasi-orthogonal functional networks in the sensitivity analysis of complex dynamical systems. First, a new type of first order (<em>k</em> = 1) generalized quasi-orthogonal polynomials of Legendre type via classical quasi-orthogonal polynomials was introduced. The short principle to design generalized quasi-orthogonal polynomials and filters was also shown. A generalized quasi-orthogonal functional network represents an extension of classical orthogonal functional networks and neural networks, which deal with general functional models. A sequence of the first order (<em>k</em> = 1) generalized quasi-orthogonal polynomials was used as a new basis in the proposed generalized quasi-orthogonal functional networks. The proposed method for determining the parameter sensitivity of complex dynamical systems is also given, and an example of a complex industrial system in the form of a tower crane was considered. The results obtained have been compared with different methods for parameter sensitivity analysis.</p>}, number={4}, journal={Elektronika ir Elektrotechnika}, author={Nikolic, Sasa S. and Antic, Dragan S. and Dankovic, Nikola B. and Milovanovic, Aleksandra A. and Mitic, Darko B. and Milovanovic, Miroslav B. and Djekic, Petar S.}, year={2022}, month={Aug.}, pages={19-26} }