DocumentCode
2563468
Title
A new approach for approximating the free transfer function in Q-parametrization
Author
Sánchez, Gustavo ; Ferrer, Joseé
Author_Institution
Simon Bolivar Univ., Caracas
fYear
2004
fDate
4-4 Sept. 2004
Firstpage
339
Lastpage
343
Abstract
This paper presents a new approach for approximating the free transfer function in Q-parametrization. Its main advantage is that the number of parameters to be tuned during the design process is reduced, when compared to others methods. As a design example, the "two-mass and spring" benchmark control problem was solved, using GESA: an evolutionary non-linear optimization technique
Keywords
approximation theory; control system synthesis; evolutionary computation; nonlinear control systems; optimisation; transfer functions; GESA; Q-parametrization; evolutionary nonlinear optimization technique; free transfer function approximation; two mass-spring benchmark control problem; Computational complexity; Control design; Design methodology; Design optimization; Frequency; Fuzzy control; Springs; Transfer functions; USA Councils; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Aided Control Systems Design, 2004 IEEE International Symposium on
Conference_Location
Taipei
Print_ISBN
0-7803-8636-1
Type
conf
DOI
10.1109/CACSD.2004.1393899
Filename
1393899
Link To Document