scholarly journals Parametric synthesis of stabilizing neurocular control of a technological module

2021 ◽  
Vol 2094 (5) ◽  
pp. 052066
Author(s):  
Viktor Sizykh ◽  
Aleksei Daneev ◽  
Roman Oboltin
Keyword(s):  
Gradient Method ◽  
Differential Form ◽  
Velocity Gradient ◽  
Sliding Modes ◽  
Parametric Synthesis ◽  
New Approach ◽  
Physical Systems ◽  
Technological Processes ◽  
Technological Module

Abstract The article proposes a new approach to combined parametric synthesis (synthesis in real or accelerated time) of neuroregulators of multidimensional and multi-connected physical systems and technological processes based on the application of the velocity gradient method in differential form and the theory of sliding modes.

The multi-model approach for fractional-order systems modelling

2016 ◽  
Vol 40 (1) ◽  
pp. 331-340 ◽  
Author(s):  
Samia Talmoudi ◽  
Moufida Lahmari
Keyword(s):  
Transfer Function ◽  
Fractional Order ◽  
Global Model ◽  
Fractional Order Systems ◽  
New Approach ◽  
Physical Systems ◽  
Integer Order ◽  
Systems Modelling ◽  
Model Approach

Currently, fractional-order systems are attracting the attention of many researchers because they present a better representation of many physical systems in several areas, compared with integer-order models. This article contains two main contributions. In the first one, we suggest a new approach to fractional-order systems modelling. This model is represented by an explicit transfer function based on the multi-model approach. In the second contribution, a new method of computation of the validity of library models, according to the frequency [Formula: see text], is exposed. Finally, a global model is obtained by fusion of library models weighted by their respective validities. Illustrative examples are presented to show the advantages and the quality of the proposed strategy.

Sensor and Actuator Intrusion Detection for Cyber-Physical Systems via Adaptive Estimation Algorithm

2020 ◽  
Author(s):  
Jiayi Su ◽  
Yuqin Weng ◽  
Susan C. Schneider ◽  
Edwin E. Yaz
Keyword(s):  
Kalman Filters ◽  
Adaptive Estimation ◽  
Estimation Algorithm ◽  
Cyber Physical Systems ◽  
Motor Speed ◽  
New Approach ◽  
Physical Systems ◽  
Unknown Type ◽  
Different Types ◽  
Conditional State

Abstract In this work, a new approach to detect sensor and actuator intrusion for Cyber-Physical Systems using a bank of Kalman filters is presented. The case where the unknown type of the intrusion signal is considered first, using two Kalman filters in a bank to provide the conditional state estimates, then the unknown type of intrusion signal can be detected properly via the adaptive estimation algorithm. The case where the target (either sensor or actuator) of the intrusion signal is unknown is also considered, using four Kalman filters in a bank designed to detect if the intrusion signal is about to affect healthy sensor or actuator signal. To test these methods, a DC motor speed control system subject to attack by different types of sensor and actuator signals is simulated. Simulations show that different types of sensor and actuator intrusion signals can be detected properly without the knowledge of the nature and the type of these signals.

scholarly journals Methodology of designing integrated technological processes for manufacturing CNC machined parts

2018 ◽  
Vol 224 ◽  
pp. 01057
Author(s):  
Viktor I. Guzeev ◽  
Danil Yu. Pimenov
Keyword(s):  
Simulation Modeling ◽  
Metal Cutting ◽  
Cutting Tool ◽  
New Approach ◽  
Integrated Production ◽  
Technological Processes ◽  
Machined Parts ◽  
Processing Accuracy ◽  
Processing Steps ◽  
Production Conditions

The article presents a new approach to the design of technological processes of processing parts on metal cutting machines in the integrated production conditions based on the expected forecast of the parts processing accuracy. The stages of choosing the parameters of processing steps are combined with determining the parameters of the cutting tool and machining attachments by simulation modeling. The design sequence begins with the first operation.

scholarly journals A Gauss Elimination Method for estimating locations of extrema in gridded data: Applications for Potential Field Data

2020 ◽  
Author(s):  
Dung Nguyen Kim ◽  
Dung Tran Tuan
Keyword(s):  
Gradient Method ◽  
Numerical Models ◽  
Traditional Approach ◽  
Dimensional Space ◽  
Gaussian Elimination ◽  
Accurate Determination ◽  
Quadratic Functions ◽  
Horizontal Gradient ◽  
Elimination Method ◽  
New Approach

Abstract. Extrema in gravity measurements can be used to locate geological structures of interest and the boundaries of such structures can be associated with the maxima in the gradients of the gravitational field strength. Finding the extrema of measured geophysical fields measured on the Earth's surface when the data is sparse is challenging. The inferred positions of such extrema are highly model dependent. Polynomial functions of two variables can be fitted to the data. Higher order polynomials typically give more accurate determination of the extrema, but the maximum order of the polynomial is limited by the number of data points. Difficulties are accentuated in the vicinity of boundaries of the existing data. The maximum horizontal gradient method has often been applied in this context. But in that particular construction, quadratic functions are developed in each dimension. Although the magnitudes of the extracted coefficients are obtained from three points related by their positions on orthogonal straight lines, off axis information should be included as well. The present paper introduces a modification of the maximum horizontal gradient method to overcome these difficulties. A Function f of the two variables x and y: f(x,y) = a1x2 + a2y2 + a3x2y2 + a4x2y + a5xy2 + a6xy + a7x + a8y + a9 is established by Gaussian elimination method base on a 3x3 neighborhood data grid. An extract creates a 4-dimensional space based on 4 specific cases of function f, including x = 0, y = 0, y = −x and y = x, they are four functions of one variable. The extreme points position are detected from these functions of one variable. To prove the proposed theoretical basis, as well as the built computer program, the paper presents two numerical models. The obtained results shown that the new approach has more maxima points than the traditional approach. Beside advantages of new approach, some disadvantages is also discussed in this paper. Moreover, we conclude with the application of our new approach to gravitational data in the East Vietnam Sea and demonstrate that we thereby disclose the existence of a gravity trench undetectable in the traditional method.

scholarly journals Editorial

2021 ◽  
Vol 27 (6) ◽  
pp. 543-543
Author(s):  
Christian Gütl
Keyword(s):  
Gradient Boosting ◽  
Load Factor ◽  
Reference Architecture ◽  
New Approach ◽  
Physical Systems ◽  
Bee Colony ◽  
Sense Of Presence ◽  
Toffoli Gates ◽  
Artificial Neural Network Ann ◽  
Negative Controls

Welcome to the sixth issue in 2021. I am very pleased to announce the journals’ Scopus CiteScore of 2.0 for 2020 indicating another scientifically successful year. On behalf of the J.UCS team, I would like to thank all authors for their sound research contributions, the reviewers for their very helpful suggestions and the consortium members for their financial support. Your commitment and dedicated work have strongly contributed to the long-lasting success of our journal. In this regular issue, I am very pleased to introduce five accepted papers from six different countries and 17 involved authors. Edinelço Dalcumune, Luis Antonio Brasil Kowada, André da Cunha Ribeiro, Celina Miraglia Herrera de Figueiredo and Franklin de Lima Marquezino from Brazil present in their article a new algorithm for synthesis of reversible circuits for arbitrary n-bit bijective functions using generalized Toffoli gates, which include positive and negative controls. Murat Firat, Derya Yiltas-Kaplan and Ruya Samli introduce their work on a machine learning method - including Artificial Neural Network (ANN), Linear Regression (LR) and Gradient Boosting (GB) - for determining optimal seat capacity that can supply the highest load factor for the flight operation between any two countries. In a collaborative research between Switzerland, China and the Netherlands Fabian Honegger, Yuan Feng and Matthias Rauterberg have investigated in their research effects of visual, auditory, vibration and draught stimuli on the sense of presence. Julio Moreno, David G. Rosado, Luis E. Sánchez, Manuel A. Serrano and Eduardo Fernández-Medina from Spain discuss in their research a security reference architecture for cyber-physical systems. Adem Tuncer from Turkey introduces a new approach based on a Artificial Bee Colony Algorithm for solving the 15-puzzle problem.

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