Takagi-Sugeno (TS) fuzzy models (1985, 1992) can provide an effective representation of
complex nonlinear systems in terms of fuzzy sets and fuzzy reasoning applied to a set of …

In many practical applications of classifiers, not only high accuracy but also high
interpretability is required. Among a wide variety of existing classifiers, Takagi–Sugeno …

Takagi-Sugeno (TS) fuzzy models can provide an effective representation of complex
nonlinear systems in terms of fuzzy sets and fuzzy reasoning applied to a set of linear input …

A hybrid indirect and direct adaptive fuzzy output tracking control schemes are developed for
a class of nonlinear multiple-input-multiple-output (MIMO) systems. This hybrid control …

In this paper, we propose an approach to design linguistic models which are accurate to a
high degree and may be suitably interpreted. This approach is based on the development of …

“Fuzzy Control-the revolutionary computer technology that is changing our world”-these and
other headlines could be read when in the early 90's news from Japan came over telling us …

The paper is concerned with robust stabilization and H/sub/spl infin//control of a class of
uncertain discrete-time fuzzy systems. The class of uncertain systems is described by state …

This paper presents the use of genetic algorithms to develop smartly tuned fuzzy logic
controllers dedicated to the control of heating, ventilating and air conditioning systems …

Different from our previous stacked-structure-based deep fuzzy classifier, in this paper, we
explore the distinctive role of adversarial outputs of training samples in enhancing the …

A stable direct adaptive fuzzy output tracking control scheme is developed for the single-
input–single-output (SISO) unknown nonlinear systems. Using a high-gain observer, the …