This paper presents a self-tuning filter (STF)-based adaptive linear neuron (ADALINE) reference current generation algorithm to enhance the operation of a three-phase three-level neutral-point diode clamped (NPC) inverter-based shunt active power filter (SAPF) under non-ideal (unbalanced and/or distorted) source voltage conditions. SAPF is an effective and versatile mitigation tool for current ...

In this paper, a new control algorithm for the dynamic voltage restorer (DVR) is proposed to regulate the load terminal voltage during various power quality problems that include sag, swell, harmonics and unbalance in the voltage at the point of common coupling (PCC). The proposed control strategy is an Adaline (Adaptive linear element) Artificial Neural Network (ANN) and is used to control a c...

Commodity trading is one of the most popular resources owning to its eminent predictable return on investment to earn money through trading. The trading includes all kinds of commodities like agricultural goods such as wheat, coffee, cocoa etc., and hard products like gold, rubber, crude oils etc.,. The investment decision can be made very easily with the help of the proposed model. The propose...

In this paper a new class of simplified low-cost analog artificial neural networks with on chip adaptive learning algorithms are proposed for solving linear systems of algebraic equations in real time. The proposed learning algorithms for linear least squares (LS), total least squares (TLS) and data least squares (DLS) problems can be considered as modifications and extensions of well known alg...

Abstraet--An edge detection algorithm using multi-state adaptive linear neurons (ADALINES) is presented. Although the tri-state ADALINE is only considered in this work, general multi-state input vectors with extreme values are shown to be linearly separable from the rest of the vectors with the same dimension. The input state of each ADALINE is defined using the local mean in a predefined mask....

In Time-Division-Duplex (TDD) wireless communications, downlink beamforming performance of a smart antenna system can be degraded due to variation of spatial signature vectors in vehicular scenarios. To mitigate this, downlink beams must be adjusted according to changing propagation dynamics. This can be achieved by modeling spatial signature vectors in the uplink period and then predicting the...

The importance of the electric power quality (PQ) demands new methodologies and measurement tools in the power industry for the analysis and measurement of the basic electric magnitudes necessary. This paper presents a new measurement procedure based on neural networks for the estimation of harmonic amplitudes of current/voltage and respective harmonic powers. The measurement scheme is built wi...

In this paper, a design of an ADALINE adaptive filter based noise cancellation based on fine-grained pipelines is presented. The circuit is implemented from 32-bit floatingpoint arithmetic function units which are partitioned into proper fine-grained pipeline stages. Fine-grained pipeline resource-sharing is performed to minimize the circuit size. The ADALINE adaptive filter is implemented on a...

The main objective in refining units is to keep the product quality within specifications in the faces of disturbances. Online measurements of product composition using composition analyser are neither easy nor economically viable. In an effort to overcome these difficulties various soft sensors are designed in the recent years. In this research work, the authors have proposed the design of neu...

Several strategies have been developed for identifying power quality issues, monitoring them, and compensating relevant disturbances. In this field, online estimate of amplitudes phase angles network voltages currents is commonly used. The adaptive linear neuron (ADALINE)-based voltage sag detection algorithm with least mean square (LMS) adaptation allows rapid convergence techniques based on a...