2018
DOI: 10.13164/mendel.2018.1.079
|View full text |Cite
|
Sign up to set email alerts
|

Parameterizing Generalized Laguerre Functions to Compute the Inverse Laplace Transform of Fractional Order Transfer Functions

Abstract: This article concentrates on using generalized Laguerre functions to compute the inverse Laplace transform of fractional order transfer functions. A novel method for selecting the timescale parameter of generalized Laguerre functions in the operator space is introduced and demonstrated on two systems with fractional order transfer functions.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 2 publications
0
1
0
Order By: Relevance
“…GLFs are based on generalized Laguerre polynomials. Generalized Laguerre polynomials are defined according to [16][17][18][25][26][27] as…”
Section: Generalized Laguerre Functionsmentioning
confidence: 99%
“…GLFs are based on generalized Laguerre polynomials. Generalized Laguerre polynomials are defined according to [16][17][18][25][26][27] as…”
Section: Generalized Laguerre Functionsmentioning
confidence: 99%