2018 XIV-th International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH) 2018
DOI: 10.1109/memstech.2018.8365694
|View full text |Cite
|
Sign up to set email alerts
|

Application of fractional order transfer function with zero and pole in approximation of electromechanical systems high order objects

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
5
2

Relationship

2
5

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 3 publications
0
3
0
Order By: Relevance
“…Studies [15,16] examined the approximation (replacement) of the high-order integer transfer function using simpler transfer functions of different types with three or five variable parameters. To this end, the particle swarm optimization method was used.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
See 1 more Smart Citation
“…Studies [15,16] examined the approximation (replacement) of the high-order integer transfer function using simpler transfer functions of different types with three or five variable parameters. To this end, the particle swarm optimization method was used.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…For most objects of control, their mathematical model can be represented by the transfer functions of different order. Works [15,16] consider the possibility of replacing (approximation) of the integer transfer function of a high order by means of the transfer functions of fractional order of different types with three, or with five variable parameters, namely: Finding TF parameters (4) or (5) can be done by one of the intelligent methods. To preserve a single methodology for the parametric synthesis and identification of the object, the GA method was used.…”
Section: A Procedures Of the Parametric Synthesis Of Pi λ D μ -Contmentioning
confidence: 99%
“…This forces researchers to improve new methods and tool including such intelligence methods of optimization as a genetic algorithm in solving the problems of the analysis and synthesis of such EMS. An increase in the number of publications on this subject [1][2][3][4][5][6] indicates a significant interest in such a problem. The genetic algorithm (GA) is designed to find the maximum of complex functions.…”
Section: Introduction and Problems Which Are Appearedmentioning
confidence: 99%