Dr.Rogelio Soto
Coahuila, Mexico
When: Wednesday June 11
Where: Room DC 1302
Time: 2:30pm Sponsored by the
IEEE Control Systems Chapter, the IEEE neural networks Chapter and the SDE PAMI
Lab
Abstract:
In this presentation type-2 fuzzy logic
system (FLS) is introduced, which can handle rule uncertainties. The
implementation of this
type-2 FLS involves the operations of fuzzification,
inference, and output processing. The "output processing" consists of type
reduction
and defuzzification. Type-reduction methods are extended versions
of type-1 defuzzification methods. Type reduction captures more
information
about rule uncertainties than does the defuzzified value (a crisp number),
however, it is computationally intensive, except for
interval type-2 fuzzy
sets.
Interval type-2 FLS is applied to forecast the behavior of the chaotic
Mackey-Glass time series and a Hot Strip Mill (HSM) temperature
process.
About the speaker:
Rogelio Soto (M'89) was born in Torreon,
Coahuila, Mexico, On april 25, 1954. He received the B.Sc. degree in electronics
engineering
from the Instituto Teconologico de la Laguna, Torreon, Coahuila,
and the M.S. degree in Electrical Engineering from the Instituto
Tecnologico
y de Estudios Superiores de Monterrey, Mexico, in 1980. In 1990, he received the
Ph.D. degree in Electrical Engineering
from the University of Texas,
Arlington. From 1981 to 1984 he was an Associate Professor in the Electrical
Engineering Department at
The Instituto Tecnologico de la Laguna. He joined
The Instituto Tecnologico y de Estudios Superiores de Monterrey, in 1990, where
he is
currently the Director of The Center of Intelligent Systems. His
current research interest includes design and development of nonlinear,
fuzzy and intelligent control systems. Dr. Soto is a member of the Sigma Xi
Research Society and IEEE. He has been a program
co-chair of the Annual
International Symposium on Artificial Intelligence organized by ITESM in 1993
and 1994.
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