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FCS - MPC and Feedback Quantizer applied to a Multi-Cell AFE Rectifier

FCS - MPC and Feedback Quantizer applied to a Multi-Cell AFE...

2019 IEEE CHILEAN Conference on Electrical, Electronics engineering, Information and Communication Technologies, CHILECON 2019

作者： Espinosa, Eduardo Melin, Pedro Espinoza, Jose Baier, Carlos Munoz, Javier Rivera, Marco Mirzaeva, Galina Gregor, Raul Universidad Católica de la Santísima Concepción Department of Environment and Energy Concepción Chile Universidad Del Bío - Bío Department of Electrical and Electronic Engineering Concepción Chile Universidad de Concepción Department of Electrical Engineering Concepción Chile Universidad de Talca Department of Electrical Engineering Curicó Chile University of Newcastle School of Electrical Engineering and Computer Science Newcastle Australia Universidad Nacional de Asunción Lab. of Power and Control Systems Asunción Paraguay

ISBN: (纸本)9781728131856

In this paper is presented a proposal of control strategy based on Finite control Set - Model Predictive complemented with Feedback Quantizer. Finite control Set - Model Predictive is a control scheme widely used in power converters. The advantages of this control are, among others, (i) the nonlinearities and constraints of the converter's operation, (ii) the natural discrete operation of power converters, and (iii) the rapid response to changes in references or disturbances. Yet, one drawback to be mentioned in the Finite control Set - Model Predictive control would be the non-fixed switching frequency, which results in a dispersed harmonic spectrum, generating resonance or saturation in transformers. The proposed control strategy, improve the harmonic spectrum of input current and PWM voltage of the power cell in a Multi-Cell AFE Rectifier. Simulation results confirm the validity of the proposal. © 2019 IEEE.

关键词： Feedback

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Fostering informatics education through teams Olympiad 30th

Fostering informatics education through teams Olympiad

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30th International Olympiad in Informatics, IOI 2018

作者： Amaroli, Nadia Audrito, Giorgio Laura, Luigi IIS Aldini Valeriani Sirani Bologna Italy Department of Computer Science University of Torino Italy Department of Computer Control and Management Engineering "Sapienza" University of Roma Italy

Even though the International Olympiad in Informatics directly involves a restricted number of pupils from each country, one of its primary goals is stimulating interest in computer science and information technology over the whole younger segment of the world’ s population. In several countries, this aim has to be accomplished without an active intervention of the Ministry of Education on school programs, relying on the efforts of small devoted organizations. In this context, promoting the involvement of a large number of school teachers may be as crucial as difficult to achieve. Following a 9-year experience of teams competitions in Italy, recently shared with other European countries, we argue that teams Olympiad may be an effective tool for widening the participation of high-school students and teachers, synergistically cooperating with existing individual competitions. On the one hand, teams contests foster peer education, encouraging talented students to help training fellows. On the other hand, these competitions can be more appealing both for average students, valuing group membership more than personal accomplishments, and most importantly, teachers: team achievements are more recognizably linked with the overall school or teacher performance than solitary excellences, resulting in increased returns rewarding the involved subjects. © 2018 IOI, Vilnius University.

关键词： Students

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Synchronization of Kuramoto Oscillators in a Bidirectional Frequency-Dependent Tree Network 57

Synchronization of Kuramoto Oscillators in a Bidirectional F...

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57th IEEE Conference on Decision and control, CDC 2018

作者： Jafarian, Matin Yi, Xinlei Pirani, Mohammad Sandberg, Henrik Henrik Johansson, Karl Automatic Control Department School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9781538613955

This paper studies the synchronization of a finite number of Kuramoto oscillators in a frequency-dependent bidirectional tree network. We assume that the coupling strength of each link in each direction is equal to the product of a common coefficient and the exogenous frequency of its corresponding source oscillator. We derive a sufficient condition for the common coupling strength in order to guarantee frequency synchronization in tree networks. Moreover, we discuss the dependency of the obtained bound on both the graph structure and the way that exogenous frequencies are distributed. Further, we present an application of the obtained result by means of an event-triggered algorithm for achieving frequency synchronization in a star network assuming that the common coupling coefficient is given. © 2018 IEEE.

关键词： Synchronization

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Fuzzy queries on relational databases

Fuzzy queries on relational databases

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2018 International Interdisciplinary PhD Workshop, IIPhDW 2018

作者： Nowakowski, Grzegorz Cracow University of Technology Department of Automatic Control and Information Technology Faculty of Electrical and Computer Engineering Cracow Poland

ISBN: (纸本)9781538661437

This article presents various forms of fuzzy queries, a detailed analysis of these queries and their conversion into standard SQL queries by means of Oracle 11g XE. A qualitative and quantitative study about the use of fuzzy queries on relational databases has been included in this article, as well. Given that fuzzy queries arrange results according to the degree in which they meet the conditions of the query, it is easier to analyze the results and the risk of obtaining an empty result is reduced thanks to an extended interpretation of the conditions of the query. The provided examples of conversion of fuzzy queries into standard SQL queries by means of Oracle 11g XE point to easy to implement methods of obtaining fuzzy information from the database, and thereby expand its functionality. © 2018 IEEE.

关键词： Fuzzy logic

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Generalizations of Nonanticipative Rate Distortion Function to Multivariate Nonstationary Gaussian Autoregressive Processes

Generalizations of Nonanticipative Rate Distortion Function ...

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IEEE Conference on Decision and control

作者： Charalambos D. Charalambous Christos Kourtellaris Themistoklis Charalambous Jan H. van Schuppen Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Department of Electrical Engineering and Automation School of Electrical Engineering Aalto University Espoo Finland company Van Schuppen Control Research Amsterdam Netherlands

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

The characterizations of nonanticipative rate distortion function (NRDF) on a finite horizon are generalized to nonstationary multivariate Gaussian order L autoregressive, AR(L), source processes, with respect to mean square error (MSE) distortion functions. It is shown that the optimal reproduction distributions are induced by a reproduction process, which is a linear function of the state of the source, its best mean-square error estimate, and a Gaussian random process.

关键词： Rate distortion theory Autoregressive processes Gaussian processes Mean square error methods Random processes

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Design of Face Recognition Access Entrance Guard System with Mask Based on Embedded Development

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Journal of Physics: Conference Series 2021年第1期1883卷

作者： Lin Ruiqin Tan Wenan Chen Zhenyu Qinqin Faculty of Environmental and Materials Engineering Shanghai Polytechnic University Shanghai 201209 China Computer Engineering Shanghai Polytechnic University Shanghai 201209 China Department of Measurement and Control and Automation Shanghai Polytechnic University Shanghai 201209 China

This paper investigates all kinds of access entrance guard control systems at home and abroad and analyzes their advantages and disadvantages. COVID-19 epidemic has a serious impact on life, travel must wear a mask, so that the access entrance guard control system can not carry out face recognition under the mask. In view of this kind of situation, an embedded face recognition access entrance guard control system with mask based on EAIDK-310 development board is designed. The system can complete face recognition and body temperature measurement without contact, and drive the motor to open the gate. After testing, the system is suitable for deployment in companies, communities, campuses and other small application scenarios. It is convenient to travel and can reduce the impact of the epidemic.

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Experimental Validation of Vehicle Velocity, Attitude and IMU Bias Estimation

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IFAC-PapersOnLine 2019年第8期52卷 118-123页

作者： Wouter J. Scholte Vicent Rodrigo Marco Henk Nijmeijer Mechanical Engineering Department Eindhoven University of Technology Eindhoven Netherlands Research and Development Daimler AG 71059 Sindelfingen Germany Control Systems Group Department of Electrical Engineering and Computer Science Technische Universität Berlin D-10587 Berlin Germany

This paper proposes an estimation method for the three dimensional velocity, and the roll and pitch angles of a land vehicle. The usage of low-cost sensors is required for applications in production vehicles. The proposed estimation method uses a low-cost inertial measurement unit (IMU) of which the biases are estimated. A nonlinear system is used to create an observer for simultaneous state and parameter estimation. Experimental results show the potential of this approach in a real world environment.

关键词： Autonomous vehicles State estimation Parameter estimation Sensor fusion Inertial measurement units Motion estimation

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Data-based Formation control for Underactuated Quadrotor Team via Reinforcement Learning

Data-based Formation Control for Underactuated Quadrotor Tea...

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第三十九届中国控制会议

作者： Hao Liu Wanbing Zhao Frank L.Lewis Zhong-Ping Jiang Hamidreza Modares School of Astronautics Beihang University Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technologies of Ministry of Education Beihang University the University of Texas at Arlington Research Institute University of Texas at Arlington the Control and Networks Lab Department of Electrical and Computer EngineeringTandon School of EngineeringNew York University the University of Texas at Arlington Research Institute

In this paper, the formation problem of unknown multi-quadrotor systems with underactuation and nonlinearities is addressed. A formation controller including a position controller and an attitude controller is designed. The designed formation controller is based on hierarchical scheme and reinforcement learning method is used to learn the control weights of the formation controller. A simulation of formation of multiple quadrotor systems shows the effectiveness of the proposed controller.

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The 1995-2018 global evolution of the network of amicable and hostile relations among nation-states

arXiv

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arXiv 2020年

作者： Askarisichani, Omid Singh, Ambuj K. Bullo, Francesco Friedkin, Noah E. Department of Computer Science University of California Santa BarbaraCA93106 United States Center for Control Dynamical Systems and Computation University of California Santa BarbaraCA93106 United States Department of Mechanical Engineering University of California Santa BarbaraCA93106 United States Department of Sociology University of California Santa BarbaraCA93106 United States

We draw on the data collected by the Integrated Crisis Early Warning System on millions of international and regional public news stories, and this system's indicators of the orientation toward a specific nation-state. We construct the networks of international amicable and hostile relations among nation-states that occur in specific time-periods in order to study the global evolution of the network of such international appraisals. Our analysis presents evidence of an evolution of the structure of this network and a model of the probabilistic micro-dynamics of the alterations of international appraisals during the 1995-2018 span of the available data. Our research provides empirical findings on long-standing debates in the interdisciplinary field of work on Structural Balance Theory. Also remarkably, we find that the trajectory of the Frobenius norm of sequential transition probabilities, which govern the evolution of international appraisals among nations, dramatically stabilizes. Copyright © 2020, The Authors. All rights reserved.

关键词： Convex optimization

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NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

arXiv

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arXiv 2022年

作者： Li, Yawei Zhang, Kai Timofte, Radu Van Gool, Luc Kong, Fangyuan Li, Mingxi Liu, Songwei Du, Zongcai Liu, Ding Zhou, Chenhui Chen, Jingyi Han, Qingrui Li, Zheyuan Liu, Yingqi Chen, Xiangyu Cai, Haoming Qiao, Yu Dong, Chao Sun, Long Pan, Jinshan Zhu, Yi Zong, Zhikai Liu, Xiaoxiao Hui, Zheng Yang, Tao Ren, Peiran Xie, Xuansong Hua, Xian-Sheng Wang, Yanbo Ji, Xiaozhong Lin, Chuming Luo, Donghao Tai, Ying Wang, Chengjie Zhang, Zhizhong Xie, Yuan Cheng, Shen Luo, Ziwei Yu, Lei Wen, Zhihong Wu, Qi Li, Youwei Fan, Haoqiang Sun, Jian Liu, Shuaicheng Huang, Yuanfei Jin, Meiguang Huang, Hua Liu, Jing Zhang, Xinjian Wang, Yan Long, Lingshun Li, Gen Zhang, Yuanfan Cao, Zuowei Sun, Lei Alexander, Panaetov Wang, Yucong Cai, Minjie Wang, Li Tian, Lu Wang, Zheyuan Ma, Hongbing Liu, Jie Chen, Chao Cai, Yidong Tang, Jie Wu, Gangshan Wang, Weiran Huang, Shirui Lu, Honglei Liu, Huan Wang, Keyan Chen, Jun Chen, Shi Miao, Yuchun Huang, Zimo Zhang, Lefei Ayazoglu, Mustafa Xiong, Wei Xiong, Chengyi Wang, Fei Li, Hao Wen, Ruimian Yang, Zhijing Zou, Wenbin Zheng, Weixin Ye, Tian Zhang, Yuncheng Kong, Xiangzhen Arora, Aditya Zamir, Syed Waqas Khan, Salman Hayat, Munawar Khan, Fahad Shahbaz Gao, Dandan Zhou, Dengwen Ning, Qian Tang, Jingzhu Huang, Han Wang, Yufei Peng, Zhangheng Li, Haobo Guan, Wenxue Gong, Shenghua Li, Xin Liu, Jun Wang, Wanjun Zeng, Kun Lin, Hanjiang Chen, Xinyu Fang, Jinsheng Zhang, Shuhao Zhang, Yuhao Sinha, Abhishek Kumar Moorthi, S. Manthira Dhar, Debajyoti Yang, Hao-Hsiang Huang, Zhi-Kai Chen, Wei-Ting Chang, Hua-En Kuo, Sy-Yen Tan, Wei Chen, Hao Xu, Qian Narang, Pratik Singh, Usneek Sameen, Syed Khaitan, Harsh Yinghua, Liu Tianlin, Zhang Xiaoming, Zhang Meng, Dingxuan Tian, Chunwei Morshed, Mashrur M. Ahsan, Ahmad Omar Computer Vision Lab ETH Zurich Switzerland University of Würzburg Germany ByteDance Shenzhen China State Key Laboratory for Novel Software Technology Nanjing University China ByteDance Inc China NetEase Inc. China Shenzhen Institutes of Advanced Technology CAS China University of Macau China Shanghai AI Lab Shanghai China Nanjing University of Science and Technology China Amazon Web Services United States China Alibaba DAMO Academy EFC Yuhang District Zhejiang Hangzhou China East China Normal University China Youtu Lab Tencent China Megvii Technology China University of Electronic Science and Technology of China China School of Artificial Intelligence Beijing Normal University China Alibaba Group China Bilibili AI China Nankai-Baidu Joint Lab Nankai University Tianjin China Platform Technologies Tencent Online Video China Higher School of Economics Russia Huawei Moscow Research Center Russia Hunan University China Xidian University China Xilinx Technology Beijing Limited China College of Information Science and Engineering Xinjiang University Urumqi China Department of Electronic Engineering Tsinghua University Beijing China Nanjing University China McMaster University Canada School of Telecommunication Engineering Xidian University Xi’an China School of Computer Science Wuhan University Wuhan China School of Mathematical Science University of Electronic Science and Technology of China Chengdu China School of Computer Science The University of Sydney Sydney Australia Aselsan Research Ankara Turkey School of Electronic and Information Engineering South-Central University for Nationalities Wuhan China Guangdong University of Technology China Fujian Normal University Fuzhou University Jimei University China Design Group China Abu Dhabi United Arab Emirates Monash University Melbourne Australia Mohamed bin Zayed University of AI United Arab Emirates North China Electric Power University Changping District Beijing China The School of Art

This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-resolve an input image with a magnification factor of ×4 based on pairs of low and corresponding high resolution images. The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29.00dB on DIV2K validation set. IMDN is set as the baseline for efficiency measurement. The challenge had 3 tracks including the main track (runtime), sub-track one (model complexity), and sub-track two (overall performance). In the main track, the practical runtime performance of the submissions was evaluated. The rank of the teams were determined directly by the absolute value of the average runtime on the validation set and test set. In sub-track one, the number of parameters and FLOPs were considered. And the individual rankings of the two metrics were summed up to determine a final ranking in this track. In sub-track two, all of the five metrics mentioned in the description of the challenge including runtime, parameter count, FLOPs, activations, and memory consumption were considered. Similar to sub-track one, the rankings of five metrics were summed up to determine a final ranking. The challenge had 303 registered participants, and 43 teams made valid submissions. They gauge the state-of-the-art in efficient single image super-resolution. © 2022, CC BY.

关键词： Chemical activation

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