This paper discusses a novel method for variable structure control. The method aims to create and maintain a predeened sliding motion in the phase space by adjusting the parameters of an ADALINE-type controller. The objective of the paper is to demonstrate that the task can be achieved under the assumption that the plant under control could be driven towards the sliding manifold. The approach p...

In this research, an efficient Galerkin Finite Volume Method (GFVM) along with the h–refinement adaptive process and post–processing error estimation analysis is presented for fracture analysis. The adaptive strategy is used to produce more accurate solution with the least computational cost. To investigate the accuracy and efficiency of the developed model, the GFVM is compared with two versio...

Artificial Neural Networks (ANNs) are machine learning algorithms that imitate neural function. There is a vast theory of ANNs available these days. To limit the scope and length of this project summary, we will only consider three ANN algorithms, which are typically the first ones introduced when starting to work with ANNs. They are the Perceptron, Adaline, and multi-layer feedforward networks...

In order to predict the ice accretion on overhead line conductors, five artificial neural network (ANN) architectures were explored and compared. Two static networks, Multilayer Perceptron and Radial Basis Functions, as well as two time dependent networks, Finite Impulse Response and Elman, were compared with multiple linear regression (ADALINE). Results indicated that the FIR network yielded t...

Diesel Generator (DG) set based standalone supply systems are source of electricity in many parts of world. DG sets are backbone of supply in trains, hospitals, institutes, telecommunication towers etc. Because of huge demand of electricity for air-conditioning, lighting, toiletries, pantry demands in trains, the railways has been one of the big consumer of DG set based supply systems. Moreover...

Fault tolerance has been known as one of the main advantages multiphase drives. When an open-circuit fault happens, smooth torque can be obtained without any additional hardware. However, a reconfiguration strategy is required to determine new reference currents. Despite non-sinusoidal electromotive forces (NS-EMFs) such high density, multi-harmonics existing in NS-EMFs cause more challenges fo...

0 2 'A A ,." . . ..... ........ 01 -1 5 -1.0 0-5 0 0 5 1.0 1-5 Introduction: The LMS (least mean square) algorithm was developed by Widrow in 1959 and originally applied to a neural network known as Adaline.' Since then the LMS algorithm has been successfully applied to a number of practical applications such as adaptive filters in telecommunication, radio and audio applications due to its robu...

In this paper we address the problem of augmenting a linear observer with an adaptive element. The design of the adaptive element employs two nonlinearly parameterized neural networks, the input and output layer weights of which are adapted on line. The goal is to improve the performance of the linear observer when applied to a nonlinear system. The networks’ teaching signal is generated using ...

The signal strength of the maternal ECG (MECG) is usually many times that of the fetal ECG (FECG). Separating FECG from abdominal ECG (AECG) is therefore always a challenge. Some multiple-lead algorithms use the thoracic MECG to cancel the MECG in the AECG to get FECG, though this is inconvenient for the patient during long-term monitoring. Hence, this paper describes an adaptive method to sepa...