This paper discusses the identification of rime-varying fuzzy systems.
A square-root type recursive algorithm with variable forgetting facto
r is presented to estimate the parameters of systems. Numerical exampl
es are provided to illustrate the performance of the identification al
gorithm. An interesting discovery of this paper is that, for a linear
system, a fuzzy model may have a frequency response close to that of a
conventional model, say, a difference equation model, although the or
ders of two models may be different.