Adaptive neuro-fuzzy inference system (ANFIS) is efficient estimation model not only among
neuro-fuzzy systems but also various other machine learning techniques. Despite …

In this article some aspects of fuzzy modeling are discussed in connection with nonlinear
system identification and control design. Methods for constructing fuzzy models from process …

We present an efficient method for estimating cluster centers of numerical data. This method
can be used to determine the number of clusters and their initial values for initializing …

Wind speed fluctuations and load demand variations represent the big challenges against
wind energy conversion systems (WECS). Besides, the inefficient measuring devices and …

Based upon the works by Zadeh (1973, 1975), in this paper, a special dynamic process with
linguistic values as its observations is defined and studied. This dynamic process is called …

The stability analysis and the design technique of fuzzy control systems using fuzzy block
diagrams are discussed. First, we show the concept of fuzzy blocks and consider the …

Rule-based fuzzy modeling has been recognised as a powerful technique for the modeling
of partly-known nonlinear systems. Fuzzy models can effectively integrate information from …

Hydraulic Servo-systems details the basic concepts of many recent developments of
nonlinear identification and nonlinear control and their application to hydraulic servo …

A self-constructing neural fuzzy inference network (SONFIN) with online learning ability is
proposed in this paper. The SONFIN is inherently a modified Takagi-Sugeno-Kang (TSK) …

Rapid developments in the field of genetic algorithms along with the popularity of the first
edition precipitated this completely revised, thoroughly updated second edition of The …