The traditional approach to fuzzy design is based on knowledge acquired by expert
operators formulated into rules. However, operators may not be able to translate their …

In this paper, the convergence of parameter estimates and the interactions among the two
adaptive fuzzy systems constituting an indirect adaptive fuzzy controller are studied, both …

The requirement for new flexible adaptive grippers is the ability to detect and recognize
objects in their environments. It is known that robotic manipulators are highly nonlinear …

Fuzzy controller generating procedures when using crisp input-output data produce the
necessary system in two steps: first they produce a starting rule set and then they tune the …

The purpose of this paper is to develop a neuro-fuzzy controller (NFC) for adaptive tracking
in unknown nonlinear dynamic systems, and for on-line computation of inverse kinematic …

This paper presents a methodology for the design of fuzzy logic controllers (FLC) that
guarantees prescribed performance for a general robotic system. It is shown that the …

This article proposes a design of adaptive fuzzy logic based control systems (FLCSs) with
neural networks. A detailed discussion of effects of different reasoning methods on fuzzy …

The dissertation research shows the possibility of applying adaptive scheme to fuzzy control
systems, especially to fuzzy controllers for nonlinear systems with unknown nonlinearities …

The present paper is dedicated to the presentation and implementation of an optimized
technique allowing an online estimation of a robot manipulator parameters to use them in a …

A hybrid adaptive fuzzy controller comprises a weighted combination of a direct and an
indirect adaptive fuzzy controller, with a continuously switched supervisory controller. The …