The thought of man-made systems and machines having emotions sounds like science fiction, however, few decades ago the idea of machines with intelligence seemed also like fiction, but today we are developing intelligent machines and using them successfully in different applications. Would we accept the idea of machines that could “feel”? What role would emotions play in machine learning and dec...

introduction : brain-based teaching is the implementation of principles and strategies derived from an understanding of the brain to enhance learning. authors in this research investigated the effects of brain-based training on learning and retention of life skills in adolescents. methods: this experimental study was designed as pre- post-test with a control group model and was conducted at the...

An important problem in the adaptive control of large flexible structures is to appropriately select the adaptive controller parameters so that good performance is obtained. There is a lack of systematic methods in selecting these parameters mainly because of the mathematical complexity in studying the transient response of nonlinear systems. In this paper a method. based on machine learning, t...

Extended Abstract This paper describes the application of Emotional Learning Based Fuzzy Controller (ELBFC) to Thyristor Controlled Series Capacitor (TCSC), which might have a significant impact on power system dynamics. The function of an ELBFC is to control a firing angle of TCSC. A proposed ELBFC is used for damping the low frequency oscillations caused by disturbances such as a sudden chang...

A single wafer processing IC fabrication with flexible and distributed configuration is getting more important. The cluster tool is such an IC fabrication equipment. It consists of the cassette module, transport module, and process module. In this paper, the model of a cluster tool is constructed using distributed colored timed Petri net (DCTPN). The emulator and controller of the cluster tool ...

In this paper, an intelligent controller to control a smart base-isolated masonry structure is proposed. The smart base isolation consists of rubber bearings and a magnetorheological damper. This semi-active scheme takes advantage of the low power requirement of magnetorheological devices to achieve structural control. The controller is capable of mapping the behaviour of the controlled structu...

To damp the oscillations in a power system, a new intelligent controller is proposed. This controller is an online trained wavelet neural network controller (OTWNNC) in which adaptive learning rates derived by the Lyapunov stability are employed to guarantee the convergence of the proposed controller. During the online control process, the identification of system is not necessary, because of l...

In this paper, a Levenberg-Marquardt inspired sliding mode control theory based adaptation laws are proposed to train an intelligent fuzzy neural network controller for a quadrotor aircraft. The proposed controller is used to control and stabilize a quadrotor unmanned aerial vehicle in the presence of periodic wind gust. A proportional-derivative controller is firstly introduced based on which ...

A self-organising bidirectional fuzzy brain emotional learning (SO-BFBEL) controller is developed to control a quadcopter UAV in an uncertain environment. The proposed SO-BFBEL improves the performance of existing BFBEL by generating more accurate layers real-time and removes need depend on expert knowledge set layers. applied position for 3-D eight shape trajectory tracking three different spe...