Fuzzy rule derivation is often difficult and time-consuming, and requires expert knowledge.
This creates a common bottleneck in fuzzy system design. In order to solve this problem …

We propose a new approach for the stability analysis of continuous Sugeno Types II and III
dynamic fuzzy systems. We introduce the concept of fuzzy positive definite and fuzzy …

It has been proven that fuzzy controllers are capable of controlling non-linear systems where
it is cumbersome to develop conventional controllers based on mathematical modeling. This …

We propose a new approach for the stability analysis of discrete Sugeno types II and III fuzzy
systems. The approach does not require the existence of a common Lyapunov function. We …

This paper presents a design methodology to stabilize a class of multi-variant nonlinear
system after a high disturbance occurs. It investigates application of Takagi-Sugeno type …

It has been proven that fuzzy controllers are capable of controlling non-linear systems where
it is cumbersome to develop conventional controllers based on mathematical modeling. This …

In this dissertation, we propose a new approach to approximate any differentiable function
by a Takagi-Sugeno-Kang (TSK) fuzzy system with a guaranteed upper bound on the …

We propose a new approach for the stability analysis of discrete Sugeno type II fuzzy
systems. The new approach uses arguments similar to those of traditional Lyapunov stability …

The commenters analyze the results published in the above paper by Lo and Chen (ibid. vol.
17 (1999)) which concern a new method of stability analysis of Takagi-Sugeno fuzzy …

In this paper the nonlinear dynamics of a continuously stirred tank reactor (CSTR) are
modelled with a neuro-fuzzy network, so that a predictive control strategy is developed …