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Keyword: NonlinearThree-phase Continuously Variable Series Reactor – Realistic Modeling and Analysis
Continuously Variable Series Reactor (CVSR) is a device that can vary the reactance in an ac circuit by controlling the magnetization of a ferromagnetic core, shared by ac and dc windings. The bias dc current can change the equivalent ac reactance(inductance) in order to, for example, control load flow, damp oscillations, or fault current limitation.…
Read MoreAn Ensemble of Voting- based Deep Learning Models with Regularization Functions for Sleep Stage Classification
Sleep stage performs a vital role in people’s daily lives in the detection of sleep-related diseases. Conventional automated sleep stage classifier models are not efficient due to the complexity linked to the design of mathematical models and extraction of hand-engineering features. Further, quick oscillations amongst sleep stages frequently lead to indistinct feature extraction, which might…
Read MoreNatural Tsunami Wave Amplitude Reduction by Straits – Seto Inland Sea
Seto Inland Sea is situated between Japanese islands Honshu, Kyushu, and Shikoku. It is separated from the ocean by the Bungo Channel, Kii Channel, and other narrow straits around Shikoku Island. The objective of the article is to draw the attention to the question of how well the coastal population and infrastructure of those locations…
Read MoreEnsemble Learning of Deep URL Features based on Convolutional Neural Network for Phishing Attack Detection
The deep learning-based URL classification approach using massive observations has been verified especially in the field of phishing attack detection. Various improvements have been achieved through the modeling of character and word sequence of URL based on convolutional and recurrent neural networks, and it has been proven that an ensemble approach of each model has…
Read MoreModel Reduction H? Finite Frequency of Takagi-Sugeno Fuzzy Systems
The daily treats model reduction finite frequency (FFMR) design for Takagi Sugeno (T S) systems. This work is to FFMR design in such a way whether augmented model is steady get a reduced H? index in FF areas with noise is established as a prerequisite. To highlight the importance of suggested process, a practical application…
Read MoreAutomated Agriculture Commodity Price Prediction System with Machine Learning Techniques
The intention of this research is to study and design an automated agriculture commodity price prediction system with novel machine learning techniques. Due to the increasing large amounts historical data of agricultural commodity prices and the need of performing accurate prediction of price fluctuations, the solution has largely shifted from statistical methods to machine learning…
Read MoreSynchronization in a Class of Fractional-order Chaotic Systems via Feedback Controllers: A Comparative Study
In this paper a synchronization methodology of two fractional-order chaotic oscillators under the framework of identical synchronization and master-slave configuration is introduced. The proposed methodology is based on a fractional-order feedback control design under the frame of control theory, the feedback controllers provide synchronization convergence. A comparative study between a proportional control, a nonlinear fractional-order…
Read MoreNumerical Analysis for Feature Extraction and Evaluation of 3D Sickness
Artificial intelligence (AI) systems have been applied not only to numerical simulations of the economical sequences but also to the bio-signal, for instance, the statokinesigrams (SKGs). According to the nonlinear analysis of the bio-signal, we have considered that the motion process of the body sway is more random than that of the other bio-signal. In…
Read MoreParameters Degradation Analysis of a Silicon Solar Cell in Dark/Light Condition using Measured I-V Data
In this paper, we investigate and analyze parameters degradation in a typical photovoltaic (PV) cell, which lead to power loss under dark as well as light condition using measured current-voltage (I-V) data. A nonlinear least squares method to extract the parameters such as the reverse saturation currents, the ideality factors, the series and shunt resistances…
Read MoreTechnological Stages of Schwartz Cylinder’s Computer and Mathematics Design using Intelligent System Support
In this paper, one of the “problem zones” in mathematics concerned with the surface area of three-dimensional bodies is presented by computer and mathematical modeling with synergetic effects using intelligent system support. The problems of personal self-organization and technological stages of student’s research activity in the process of modern achievements in science adaptation in teaching…
Read MoreSimulation of Pulse Width Modulation DC-DC Converters Through Symbolic Analysis Techniques
The problem of Pulse Width Modulated (PWM) DC-DC converter simulation is faced in this paper. It is shown how the analysis of this kind of circuits, nonlinear and switching for their nature, can be easily and quickly executed by using symbolic analysis techniques. The paper also presents the program SapWinPE, which performs an automatic symbolic…
Read MoreWideband Active Switch for Electronic Warfare System Applications
Discrete component based ultra-wideband SPDT switch modelling, design and implementation challenges are reported in this article. The basic SPDT switch is planned to design using PIN diodes (bare die). Nonlinear parameters extraction steps of PIN diode from datasheets have been proposed in this article instead of using readymade nonlinear PIN diode models. Equalizers are designed…
Read MoreA Fast Adaptive Time-delay-estimation Sliding Mode Controller for Robot Manipulators
A nonlinear adaptive robust controller is proposed in this paper for trajectory-tracking control problems of robot manipulators. On one hand, to effectively approximate the systematic dynamics, a simple time-delay estimator is first adopted. On the other hand, to minimize the control error, the controller is designed based on a sliding mode structure using the obtained…
Read MoreAdaptive Identification Method of Vehicle Model for Autonomous Driving Robust to Environmental Disturbances
Many recent studies on autonomous driving have focused on model-based control. A number of studies has addressed that simple models such as the Kinematic Bicycle Model are easier to design controls for autonomous driving systems. However, such a simple vehicle model has a weakness in that it is subject to modeling errors. This is because…
Read MorePerformance Analysis and Enhancement of Spline Adaptive Filtering based on Adaptive Step-size Variable Leaky Least Mean Square Algorithm
This paper presents an adaptive step-size and variable leaky least mean square algorithm based on nonlinear adaptive filter with the adaptive lookup table using spline interpolation. An adaptive step-size approach is proposed with the energy of squared previous and present errors to boost up the convergence rate. A modified variable leaky mechanism is proposed with…
Read MoreA Fuzzy Controller Based SAPF for Power Quality Enhancement of Distribution System Integrated with Wind Energy Source
Wind energy is emerged rapidly as the most important and viable sustainable power source due to the mature technology and wide availability. The integration of wind energy sources and utilization of nonlinear loads having different characteristics results in several challenges in a distribution system. One of which is power quality issue .Hence, in this work,…
Read MoreDamage Accumulation Model for Cracked Pipes Subjected to Water Hammer
During service, oil and gas pipelines may be exposed to cyclical loads during service, which may lead to a structural failure. Failure is due in most cases to cracks in the structure. Mechanics of the propagation of surface cracks pose a serious challenge and, therefore, models are required to help analyze it. In this study,…
Read MoreShort-Term Dynamic Exchange Rate Model: IFEER Concept Development
The new model of the short-term exchange rate dynamics was constructed. First of all, the most interesting were the reasons of the deviation from the medium-term equilibrium. The author’s IFEER-concept (International Flows Equilibrium Exchange Rate) was used as a base and it was developed. In this study, due to the short-term modeling period the differential…
Read MoreRobust Static Output-Feedback Fault Tolerant Control for a Class of T-S Fuzzy Systems using Adaptive Sliding Mode Observer Approach
In this paper, the problems of actuator and sensor fault estimation (FE) and fault-tolerant control (FTC) for uncertain nonlinear systems represented by Takagi-Sugeno (T-S) fuzzy models are investigated. First, a robust fuzzy adaptive sliding mode observer (SMO) is designed to simultaneously estimate system states and both actuator and sensor faults. Then, using the obtained on-line…
Read MoreController Design Using Backstepping Algorithm for Fixed-Wing UAV with Thrust Vectoring System
This paper describes the design method of a nonlinear flight controller for a fixed-wing UAV with a thrust vectoring system (TVS) using the backstepping method. The flight dynamics of the UAV exhibits strong nonlinear coupling behavior between its translational and rotational motion. The backstepping algorithm has been successfully applied to controller design for such a…
Read MoreNon Parallelism and Cayley-Menger Determinant in Submerged Localization
This research paper portraits the technique to determine location of submerged nodes with Cayley-Menger determinant and associated problems with non-parallel states. Cayley-Menger determinant is considered to be the usual means to determine the coordinates of the nodes with a single node where the plane of beacon i.e. beacon’s surfing plane and the plane created by…
Read MoreActigraph Analysis of Elderly Dementia Patients During Phototherapy Using Non-Linear Analysis
Dementia is one of the three primary diseases that increases the level of nursing care required for the elderly. Dementia can lead to an increased burden not only on those who have contracted it, but also their families and the surrounding environment; initiatives for preventing dementia and slowing the decline of cognitive function are expected…
Read MoreDynamic Behavior of Multi-Story Concrete Buildings Based on Non-Linear Pushover & Time History Analyses
In many countries and regions in the world, earthquakes are one of the most common natural disasters, which affect both human life and property. To avoid negative effects of earthquake, the nonlinear response of structures under dynamic loading should be accurately modeled to investigate their actual behavior under earthquake loading to ensure safe and sound…
Read MoreNew Color Image Encryption for Medical Images Based on Three Dimensional Generalized Chaotic Cat Map and Combined Cellular Automata
Medical images are transmitted via the Internet or the hospital intranet which include many important information about the patient’s personal information. Medical image encryption is a technology that can effectively protect the information contained in these medical images. In this paper, we give a secure and trusty Combined Cellular Automata (CoCA) based medical image encryption…
Read MorepH Neutralization Process Control based on Active Disturbance Rejection Control
This paper considers active disturbance rejection control (ADRC) as a new control approach for pH neutralization process. The pH process is challenging to control due to its sensitivity to disturbance, nonlinear dynamics, and time-varying characteristics. Special attention is paid to the impact of disturbances typically exists in the chemical process. First, the pH neutralization process…
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