TY  - JOUR
AU  - Nikolic, Sasa S.
AU  - Antic, Dragan S.
AU  - Dankovic, Nikola B.
AU  - Milovanovic, Aleksandra A.
AU  - Mitic, Darko B.
AU  - Milovanovic, Miroslav B.
AU  - Djekic, Petar S.
PY  - 2022/08/24
Y2  - 2025/01/01
TI  - Generalized Quasi-Orthogonal Functional Networks Applied in Parameter Sensitivity Analysis of Complex Dynamical Systems
JF  - Elektronika ir Elektrotechnika
JA  - ELEKTRON ELEKTROTECH
VL  - 28
IS  - 4
SE  - 
DO  - 10.5755/j02.eie.31110
UR  - https://eejournal.ktu.lt/index.php/elt/article/view/31110
SP  - 19-26
AB  - <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>
ER  -