Title :
A new approach for approximating the free transfer function in Q-parametrization
Author :
Sánchez, Gustavo ; Ferrer, Joseé
Author_Institution :
Simon Bolivar Univ., Caracas
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;
Conference_Titel :
Computer Aided Control Systems Design, 2004 IEEE International Symposium on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8636-1
DOI :
10.1109/CACSD.2004.1393899
