We present an adaptive fuzzy clustering scheme for image segmentation, the adaptive fuzzy
clustering/segmentation (AFCS) algorithm. In AFCS, the nonstationary nature of images is …

A new fuzzy controller for stabilization control of inverted pendulum systems is presented
based on the Single Input Rule Modules (SIRMs) dynamically connected fuzzy inference …

A hybrid approach to fuzzy supervised learning is presented. It is based on a genetic-neuro
learning algorithm. The mixed-genetic coding adopted involves only the premises of the …

This paper presents a novel inertia moment estimation algorithm to enable the Active Force
Control Scheme for tracking a wheeled mobile robot (WMR) effectively in a specific trajectory …

In this paper, a novel method to simultaneously tune the antecedent and consequent
membership functions of an adaptive observer-based indirect fuzzy controller, is presented …

Optimal process parameter setting for injection moulding is difficult to achieve due to a large
number of factors involved. Current practice in industry is to adjust the parameters based on …

An embedded hybrid Hinfin adaptive fuzzy control structure is implemented for trajectory
tracking control of a brushless servo drive system. The control structure employs a fuzzy …

A Mamdani-type fuzzy logic controller is designed and implemented in hardware for
controlling a static compensator (STATCOM), which is connected to a ten-bus multimachine …

This paper describes the development of a fuzzy neural network-based in-process mixed
material-caused flash prediction (FNN-IPMFP) system for injection molding processes. The …

The controller output error method (COEM) is introduced and applied to the design of
adaptive fuzzy control systems. The method employs a gradient descent algorithm to …