Title :
Designing fuzzy logic systems
Author :
Mendel, Jerry M. ; Mouzouris, George C.
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
fDate :
11/1/1997 12:00:00 AM
Abstract :
We present a formulation of a fuzzy logic system (FLS) that can be used to construct nonparametric models of nonlinear processes, given only input-output data. In order to effectively construct such models, we discuss several design methods with different properties and features. We compare and illustrate systems designed with each one of the methods, using an example on the predictive modeling of a nonlinear dynamic (chaotic) system
Keywords :
backpropagation; fuzzy logic; fuzzy set theory; least squares approximations; singular value decomposition; time series; RLS method; chaotic system; design methods; fuzzy logic systems; input-output data; nonlinear dynamic system; nonlinear processes; nonparametric models; predictive modeling; Adaptive systems; Backpropagation; Chaos; Design methodology; Fuzzy logic; Fuzzy set theory; Interpolation; Nonlinear dynamical systems; Predictive models; Surface fitting;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
