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Industrial Cyber-Physical systems (ICPS)

作者： Haiyang Wei Luefeng Chen Jie Hu Yi Ren Min Wu Witold Pedrycz Kaoru Hirota School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada Tokyo Institute of Technology Yokohama Japan

Coke pushing current is an indicator to evaluate the difficulty of coke pushing operation. The higher coke pushing current is, the greater coke pushing resistance is, and the more difficult coke is to push out. Accurate prediction of current peak during future coke pushing operation can provide more time for production personnel to adjust production status and avoid difficult coke pushing in carbonization chamber. In this paper, a combination prediction model based on VMD (Variational Mode Decomposition) and improved ARIMA (Autoregressive Integrated Moving Average) models is proposed. Firstly, VMD algorithm is used to decompose time series of coke pushing current peak, de-noising data, and extracting main information of time series. Then, ARIMA model is used to predict mean change of linear elasticity and GARCH (Generalized Autore-gressive Conditional Heteroskedasticity) model is introduced to predict ARIMA model residual and improve heteroscedasticity of nonlinear part of time series, and then ARIMA-GARCH model is established. Finally, predicted value is obtained by the sum of each component prediction. The experimental results show that the proposed prediction model has a high prediction accuracy in the short-term prediction of coke pushing current peak. The scheme is applied to actual coking production to guide production of coke.

关键词： Resistance Ovens Time series analysis Noise reduction Production Predictive models Prediction algorithms

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Stability and Bifurcation control of Fractional BAM Neural Networks with Diffusion and Time Delays

Stability and Bifurcation control of Fractional BAM Neural N...

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Chinese control Conference (CCC)

作者： Feng Liu Wei Wang Gang Cai Feifan Zhou Hua O Wang Xiuqin Yang School of Automation China University of Geosciences Wuhan China Engineering Research Center of Ministry of education for intelligent technology of earth exploration Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Department of Mechanical Engineering Boston University Boston MA USA School of Education Minzu University of China Beijing China

Based on fractional calculus theory and reaction-diffusion equation theory, a fractional-order time-delay reaction-diffusion neural network with Neumann boundary conditions is investigated. By constructing the phase space basis based on the Laplace operator eigenvector, the system equation is linearized to obtain the characteristic equation. Then, the characteristic equation is analyzed, and the local stability of the system at the equilibrium point is discussed. And taking the time delay as the bifurcation parameter, the stability changes of the system at the equilibrium point and the generation conditions of the Hopf bifurcation are studied when the time delay changes. Moreover, a state feedback controller is designed to control the bifurcation of the system. Finally, the theoretical derivation is verified by numerical simulation.

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Anti-disturbance filter design for a class of stochastic systems with fading channels

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Science China(Information Sciences) 2020年第11期63卷 327-329页

作者： Yang LIU Zidong WANG Hongli DONG Hongjian LIU College of Electrical Engineering and Automation Shandong University of Science and Technology Department of Computer Science Brunel University London Institute of Complex Systems and Advanced Control Northeast Petroleum University School of Mathematics and Physics Anhui Polytechnic University

Dear editor,As a significant topic in control and signal processing communities, the filtering problem has been attracting persistent research attention in the past few decades [1]. In practical engineering, the parameter perturbations are unavoidable due mainly to exogenous disturbances, environmental changes and some other phenomena.

关键词： Stochastic systems fault detection model uncertainty anti-disturbance fading channel

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Dynamic Analysis and control of Fractional Order Memristor Hopfield Neural Network

Dynamic Analysis and Control of Fractional Order Memristor H...

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Chinese control Conference (CCC)

作者： Feng Liu Gang Cai Feifan Zhou Wei Wang Hua Wang Xiuqin Yang School of Automation China University of Geosciences Wuhan China Engineering Research Center of Ministry of education for intelligent technology of earth exploration Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Department of Mechanical Engineering Boston University Boston MA USA School of Education Minzu University of China Beijing China

In this paper, a novel smooth magnetron is introduced to construct a fractional memristor Hopfield neural network (fractional order M-HNN). The local stability of equilibrium point are analyzed theoretically. Taking the memristor coupling strength coefficient and the fractional order as bifurcation parameters, the phase trajectory diagram, the bifurcation diagram of the system are drawn to analyze the influence on the dynamic behavior of the neural network. When the system parameters are fixed, the hyperchaos phenomenon of the fractional order M-HNN model is revealed. Finally, the PD controller is applied to the model to enhance the stability of the system.

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Fault Detection in Inertial Measurement Unit and Global Navigation Satellite System of an Unmanned surface vehicle

Fault Detection in Inertial Measurement Unit and Global Navi...

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International Conference on control, Automation and systems ( ICCAS)

作者： Gyeongsub Song Nak Yong Ko Hyun Taek Choi Joono Sur Department of Control and Instrumentation Engineering Interdisciplinary Program in IT-Bio Convergence Systems Chosun University Gwangju Korea Department of Electronic Engineering Interdisciplinary Program in IT-Bio Convergence Systems Chosun University Gwangju Korea Autonomous & Intelligent Maritime Systems Research Division Korea Research Institute of Ships and Ocean Engineering Daejeon Korea Agency for Defense Development PM Research Institute for Advanced Defense Science and Technologies Daejeon Korea

This paper presents a method which detects faults in the measurement required for navigation of an unmanned surface vehicle. The measurement includes acceleration and angular rate by an inertial measurement unit (IMU), and the location by global navigation satellite system (GNSS). The method uses Kalman filter to estimate the state variables which represent the amount of faulty measurements. The method is tested by the experiment in which a boat equipped by commercial IMU and GNSS navigates in a sea trial. The result verifies that faults in acceleration and angular rate measurements are detected robustly and the GNSS position fault is detected when there is considerable location error.

关键词： Accelerometers Global navigation satellite system Sea surface Measurement units Sea measurements Inertial navigation Sensors

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Efficient Outlier Removal Combining REPPnP and the Levenberg-Marquardt Method 6

Efficient Outlier Removal Combining REPPnP and the Levenberg...

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6th IEEE International Conference on Computer and Communications, ICCC 2020

作者： Aizono, Kousuke Matsushima, Kousuke Advanced Engineering School National Institute of Technology Kurume College Fukuoka Japan National Institute of Technology Kurume College Department of Control and Information Systems Engineering Fukuoka Japan

ISBN: (纸本)9781728186351

The ability to remove outliers is essential for performing the Perspective-n-Point (PnP) method in practical applications. However, conventional methods have high time complexities and problems of accuracy. In this paper, we propose the method for removing outliers by combining REPPnP and the Levenberg-Marquardt(LM) method. Our method was tested based ORB-SLAM2 using the KITTI dataset. The measurements were shown to lead to an accurate rotation and transloation. Then we were able to shorten the processing time. These indicate the possibility that proposed method can be applied to practical applications has improved. © 2020 IEEE.

关键词： Statistics

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Gramian Preserving Moment Matching for Linear systems*

Gramian Preserving Moment Matching for Linear Systems*

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European control Conference (ECC)

作者： Yu Kawano Tudor C. Ionescu Orest V. Iftime Graduate School of Advanced Science and Engineering Hiroshima University Higashi-hiroshima Japan Department of Automatic Control and Systems Engineering University Politehnica Bucharest Bucharest Romania “Gheorghe Mihoc-Caius Iacob” Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy Bucharest Romania Department of Economics Econometrics and Finance Faculty of Economics and Business University of Groningen Nettelbosje 2 Groningen The Netherlands

Time-domain moment matching-based model order reduction is an efficient technique that provides a family of parametrized reduced order models with identical moments evaluated in a set of points. The free parameters provide flexibility to impose additional constraints such as stability, passivity, and derivative matching. In this paper, for a single-input and single-output linear time-invariant system, we consider the problem of constructing a reduced-order model by balanced truncation via moment matching. We show that there exists an exo-system yielding a reduced order model with a desired controllability Gramian. Similarly, an exo-system of dual moment matching provides a reduced order model with a desired observability Gramian. Therefore, combining the two moment matching methods can yield a reduced order model by balanced truncation, opening a door to achieve model reduction by balanced truncation via moment matching

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Experimental Evaluation of an Indoor Visible Light Communications System in Light Dimming Conditions

Experimental Evaluation of an Indoor Visible Light Communica...

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Telecommunications Forum (TELFOR)

作者： Alin-Mihai Căilean Cătălin Beguni Sebastian-Andrei Avătămăniței Mihai Dimian Luc Chassagne Bastien Béchadergue Department of Computers Electronics and Automation Stefan cel Mare University of Suceava Suceava Romania Integrated Center for Research Development and Innovation in Advanced Materials Nanotechnologies and Distributed Systems for Fabrication and Control Stefan cel Mare University of Suceava Suceava Romania Systems Engineering Laboratory of Versailles Paris-Saclay University UVSQ Vélizy France

Visible Light Communications (VLC) are a new wireless communications technology that benefits from numerous advantages. Nevertheless, due to particular limitations, its deployment is still not in sight. A specific VLC challenge is establishing the link when the transmitter needs to provide light dimming function or even when it is in off-state. To achieve this goal, a new indoor VLC prototype was developed and experimentally evaluated. The VLC transmitter has been developed as part of the indoor lighting infrastructure, whereas the VLC receiver is being developed as part of a smart backpack for visually impaired persons’ assistance. The prototype has been evaluated in light dimming conditions, going down to 1% duty cycle, which is perceived by the human eye as almost in an off-state. The experimental results demonstrate the feasibility of the concept, as a BER lower than $10^{-6}$ can be maintained while decreasing the light intensity down to the point where the light seems totally off.

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Proposal of a Smart Bicycle Tourism Improving Tourability and Safety for Tourists by Mesh LPWA Communication System 8

Proposal of a Smart Bicycle Tourism Improving Tourability an...

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8th International Symposium on Computing and Networking Workshops, CANDARW 2020

作者： Uchim, Tomonari Chiba, Shinji National Institute of Technology Sendai College Advanced Course of Information and Electronic Systems Sendai Japan National Institute of Technology Sendai College Department of General Engineering Sendai Japan

ISBN: (纸本)9781728199191

In many local regions, the population is decreasing because of outflow of young people to city areas and the declining birth rate and aging population, so a tourism promotion is expected as a method of regional activation. But it is difficult to invite tourists to a minor local region by a common tourism promotion. Further the tourism industry must response to COVID-19 and large-scale natural disasters that have frequently occurred in recent years. In this study, we propose a bicycle tourism system using LPWA communication helping to travel around tourist destinations safely and efficiently. Basics of the bicycle tourism system was developed and investigated the possibility and usefulness. © 2020 IEEE.

关键词： Bicycles

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A Default Prediction Model in Installment Sales Using Non Financial Data 9

A Default Prediction Model in Installment Sales Using Non Fi...

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9th International Congress on advanced Applied Informatics, IIAI-AAI 2020

作者： Ijiri, Moe Tabata, Tomoaki Hosoda, Takaaki Tokai University School of Information and Telecommunication Engineering Course of Information Telecommunication Engineering Tokyo Japan Tokai University School of Info Rmation and Telecommunication Engineering Department of Management System Engineering Tokyo Japan Advanced Institute of Industrial Technology Information Systems Architecture Tokyo Japan

ISBN: (纸本)9781728173979

In recent years, a credit scoring service that based on personal behavioral data has been providing in the world. Alibaba Group's Ant Financial in China developed Sesame Credit and launched its service in 2015 as an additional function of Alipay. Credit score(risk) is mainly used in case of calculating loan limit and loan interest rate. On the other hand, a personal credit score affects not only loans but also to benefit public services, job hunting, and marriage hunting. In many countries, personal credit scores will be created as part of various services and become credit score society as in China. Personal credit scores have been already performed practically, but there is not so much research on academic at present. In particular, there is not research on the personal credit risk using only non-financial data without financial data. Generally, financial data is used principally to measure a company's credit risk. However, the use of financial data to measure a personal credit risk is considered dangerous. Therefore, in the latter case, it's important to calculate credit risk using only non-financial data without using financial data. In this study, we examine the method to calculate personal credit score using non-financial ***, we describe the flow of a customer who purchases a product using relation diagram until it defaults. Secondly, we performed a two-group discriminant analysis using the default variable as the objective variable and adding some default factors to the explanatory variables. As a result of the correct discrimination rate, discrimination was possible, albeit slightly. In addition, it turned out to be meaningful to analyze personal credit using only non-financial data. © 2020 IEEE.

关键词： Discriminant analysis

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