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A new approach for approximating the free transfer function in Q-parametrization

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2 Author(s)
Sanchez, G. ; Simon Bolivar Univ., Caracas ; Ferrer, J.

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

Published in:

Computer Aided Control Systems Design, 2004 IEEE International Symposium on

Date of Conference:

4-4 Sept. 2004