In this paper, an adaptive control method for hybrid position/force control of robot manipulators, based on neuro-fuzzy modelling, is presented. Also, an adaptive neuro-fuzzy compensator compensates the friction force between the endeffector and the surface of the object. Due to the adaptive neuro-fuzzy modelling, the proposed controller is independent of the robot dynamics. Also, the stability...

Static Synchronous Series Compensator (SSSC) is a series compensating Flexible AC Transmission System (FACTS) controller for maintaining to the power flow control on a transmission line by injecting a voltage in quadrature with the line current and in series mode with the line. In this work, an Adaptive Network-based Fuzzy Inference System controller (ANFISC) has been proposed for controlling o...

We propose to use an adaptive neuro-fuzzy inference system in order to optimize decision making for the job assignment problem of the US Navy. Results need to be considered carefully because of the high noise level naturally present in the data coming from human decisions.

Mixing rubber in an internal mixer is a complex nonlinear process in which viscosity of the rubber is one of the key quantities concerning end product quality. Since viscosity can’t be measured online, soft sensor methods for modelling viscosity are investigated to establish an online control of viscosity. This paper presents a black-box approach to modelling viscosity using an adaptive neuro-f...

Condition monitoring of a gearbox is a crucial activity due to its importance in power transmission for many industrial applications. Thus, there has always been a constant pressure to improve measuring techniques and analytical tools for early detection of faults in gearboxes. This study forces to develop the gearbox monitoring methods using the operating parameters obtained from machine contr...

This paper addresses about an approach that suggests for stock portfolio optimization using the combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Capital Asset Pricing Model (CAPM). Stock portfolio optimization aims to determine which of the stocks to be added to a portfolio based on the investor’s needs, changing economic and market conditions. In order to construct an efficient...

Though the hi-tech industry has focused on value innovation and improving the quality of the new product development (NPD) process to drive new product performance, new product success has not changed dramatically over the years. This study presents a novel approach based on structural equation modeling (SEM) and adaptive neuro-fuzzy inference system (ANFIS) to forecast value innovation and the...

today, dc motors is still being used globally due to their easy speed controllability. in this article, an adaptive neuro-fuzzy inference system (anfis) controller is designed for dc motors. the main purpose of performing such task is to reduce the dc motor starting current and deleting the ripple current during starting time in considering control parameters such as: rise time, settling time, ...