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IEEE Conference on Power Electronics and Renewable Energy (CPERE)

作者： Karam Khairullah Mohammed Saad Mekhilef Muhyaddin Rawa Control and Mechatronics Engineering Department School of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia School of Software and Electrical Engineering Faculty of Science Engineering and Technology Swinburne University of Technology Hawthorn VIC Australia Smart Grids Research Group Center of Research Excellence in Renewable Energy and power Systems King Abdulaziz University Jeddah Saudi Arabia Department Of Electrical and computer Engineering Faculty of engineering K. A Care Energy Research and Innovation Center King Abdulaziz University Jeddah Saudi Arabia

Photovoltaic systems (PV) are exposed to various weather conditions during the day and getting the maximum power of a PV system is one of its major challenges. While the conventional methods take time to track the maximum power accompanying the fluctuation around the maximum power. Consequently, several metaheuristic algorithms have been presented to overcome the fluctuating around the maximum power. On the other hand optimization methods will search into entire the PV curve to extract the maximum power. This leads to unnecessary search points during the uniform shading conditions which decrease the convergence speed towards the maximum power. In overcoming the tracking time issues as well as the capacity to distinguish between uniform and partial shading conditions, a quick and efficient tracking technique connected to the grid system was presented in this paper. The proposed system, has been tested using MATLAB/SIMULINK, which includes a boost converter to track the maximum power with a sampling time of 0.05 seconds, While a voltage source converter (VSC) is used to transfer the power generated by solar panels to the grid. The simulation results demonstrated that the proposed method was successfully implemented, with an average tracking time of 0.412 s for different weather conditions. Moreover, the comparison with the conventional method of perturb and observe (P& O) has been presented to evaluate the proposed method’s efficiency.

关键词： Maximum power point trackers Renewable energy sources Fluctuations Simulation Optimization methods Power electronics Solar panels

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Detection of stealthy false data injection attacks against networked control systems via active data modification

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Information Sciences 2021年 546卷 192-205页

作者： Zhong-Hua Pang Lan-Zhi Fan Jian Sun Kun Liu Guo-Ping Liu Key Laboratory of Fieldbus Technology and Automation of Beijing North China University of Technology Beijing 100144 China State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing 100081 China Department of Artificial Intelligence and Automation Wuhan University Wuhan 430072 China

This paper investigates the design and detection problems of stealthy false data injection (FDI) attacks against networked control systems from the different perspectives of an attacker and a defender, respectively. First, a Kalman filter-based output tracking control system is presented, where stealthy FDI attacks are designed for its feedback and forward channels so as to destroy the system performance while bypassing a traditional residual-based detector. Second, to successfully detect such two-channel stealthy attacks, an active data modification scheme is proposed, by which the measurement and control data are amended before transmitting them through communication networks. Theoretical analysis is then carried out for both ideal and practical cases to evaluate the effectiveness of the detection scheme. An interesting finding is that the attacks designed based on a false model obtained from those modified data can remain stealthy. Finally, simulation results are provided to validate the proposed attack design and detection schemes.

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Performance Analysis of Cooperative Wireless-Powered NOMA System With Energy Buffer

IEEE Transactions on Green Communications and Networking

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IEEE Transactions on Green Communications and Networking 2024年

作者： Xie, Kengyuan Cai, Guofa Ning, Ting He, Jiguang Kaddoum, Georges Guangdong University of Technology School of Information Engineering Guangzhou510006 China Chongqing University of Posts and Telecommunications Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing400065 China Great Bay University School of Computing and Information Technology China University of Oulu Centre for Wireless Communications Oulu90014 Finland University of Quebec Electrical Engineering Department École de Technologie Supérieure MontrealQCH2L 2C4 Canada Lebanese American University Artificial Intelligence and Cyber Systems Research Center Lebanon

This paper proposes an energy buffer aided cooperative wireless-powered non-orthogonal multiple access (NOMA) system, which includes a base station (BS), a near user (NU), and a far user (FU). To consider a more general case and improve the system performance as much as possible, both the NU and FU are equipped with energy buffers. Two different energy management policies are considered at the NU and FU, namely the best-effort policy (BEP) and on-off policy (OOP). In the proposed system, the NU and FU first collect and store radio frequency based energy from the BS. Then, the FU uses the stored energy to transmit its signal to both the BS and NU. The NU decodes the received signal from the FU and uses the stored energy to transmit the superimposed signal that consists of its own signal and the decoded FU signal to the BS. The outage probability and throughput expressions of the proposed system with BEP and OOP are derived over Rayleigh fading channels. Results reveal that the proposed system can significantly improve the performance of FU compared to the energy buffer aided non-cooperative wireless-powered NOMA system, and can outperform the buffer-less cooperative wireless-powered NOMA system. © 2017 IEEE.

关键词： Fading channels

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Minimization of constraint violation probability in model predictive control

arXiv

引用

arXiv 2020年

作者： Brüdigam, Tim Gaßmann, Victor Wollherr, Dirk Leibold, Marion The Department of Automatic Control Engineering The Technical University of Munich Germany The Department of Robotics Artificial Intelligence and Real-time Systems The Technical University of Munich Germany

While Robust Model Predictive control considers the worst-case system uncertainty, Stochastic Model Predictive control, using chance constraints, provides less conservative solutions by allowing a certain constraint violation probability depending on a predefined risk parameter. However, for safety-critical systems it is not only important to bound the constraint violation probability but to reduce this probability as much as possible. Therefore, an approach is necessary that minimizes the constraint violation probability while ensuring that the Model Predictive control optimization problem remains feasible. We propose a novel Model Predictive control scheme that yields a solution with minimal constraint violation probability for a norm constraint in an environment with uncertainty. After minimal constraint violation is guaranteed the solution is then also optimized with respect to other control objectives. Further, it is possible to account for changes over time of the support of the uncertainty. We first present a general method and then provide an approach for uncertainties with symmetric, unimodal probability density function. Recursive feasibility and convergence of the method are proved. A simulation example demonstrates the effectiveness of the proposed method. Copyright © 2020, The Authors. All rights reserved.

关键词： Robust control

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Youla Parameterization Based control Performance Degradation Online Recovery of Single Inverter control systems in Microgrids: a PnP Approach

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IFAC-PapersOnLine 2020年第2期53卷 12080-12085页

作者： Y. Liu C. Hu H. Lu S.X. Ding L. Li X. Peng Y. Wang Institute for Automatic Control and Complex Systems University of Duisburg-Essen Bismarkstr. 81 BB 47057 Duisburg Germany College of Electrical and Control Engineering North China University of Technology 100144 Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology200237 Shanghai China

In an inverter control system of smart microgrids, the control performance degradation due to load fluctuations, unbalanced loads and other factors, is one of the considerable factors affecting the output power quality. In this paper, a plug-and-play (PnP) technology based on Youla parameterization is proposed to achieve system performance recovery without modifying the existing controller. By ‘plugging-in’ a residual generator and a compensator, a dynamic feed-back of residual signals is embedded into the original inverter control system. In order to realize PnP, an online parameter estimation scheme of the compensator is developed. Finally, an inverter control system is applied to show the effectiveness of the proposed approach.

关键词： Youla parameterization performance degradation online recovery power quality microgrids

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A First Course in Feedback, Dynamics and control: Findings from 2019 Online Survey of the International control Community

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IFAC-PapersOnLine 2020年第2期53卷 17264-17275页

作者： J.A. Rossiter K. Zakova M. Huba A. Serbezov A. Visioli Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Slovak University of Technology in Bratislava Faculty of Electrical Engineering and Information Technology Institute of Automotive Mechatronics Bratislava Slovakia Rose-Hulman Institute of Technology Terre Haute IN 47803 Department of Mechanical and Industrial Engineering University of Brescia Italy

This paper summarizes the results from a large-scale survey on the content and teaching philosophy of the first, and in many cases the only, control course taken by undergraduate students in engineering and applied sciences around the world. The IFAC Technical Committee on Education developed and administered the survey in 2019. At the time of writing, 201 control professionals have responded to the survey. The majority view is that the first course in control should focus on concepts and avoid excessive mathematical proofs. The responders ranked the depth of coverage of 63 topics commonly found in introductory control texts. Based on the ranking results, a sample curriculum for a first control course is outlined.

关键词： Engineering education automatic control curriculum Introductory control curriculum

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MPC Performances for Nonlinear systems Using Several Linearization Models

MPC Performances for Nonlinear Systems Using Several Lineari...

引用

American control Conference

作者： Yusuke Igarashi Masaki Yamakita Jerry Ng H. Harry Asada Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo Japan Department of System and Control Engineering Tokyo Institute of Technology Tokyo Japan Department of Mechanical Engineering Massachusetts Institute of Technology Massachusetts USA

ISBN: (数字)9781538682661

ISBN: (纸本)9781538682678

It is now well known that dynamics of nonlinear systems can be lifted to higher or infinite dimensional spaces and represented as linear systems. We call such linear system representations and approximations, 'lifting linear' representations. Once we have such a linear system representation, we can apply linear control theorems to the previous nonlinear systems. The behavior of the lifting linear system are closer to the original systems than those of Taylor series approximations. In this paper, we compare performances of MPC (Model Predictive control) for nonlinear systems using several different approximated linear models. When the systems are represented as linear systems, MPC can be solved by convex quadratic optimization methods if the constraints are linear. It will be shown that computational times become much shorter and the optimality of the solutions are improved using particular lifting linearizations.

关键词： Linear system lift lifts Taylor series Optimization methods optimality Linearization computational time closer

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An analytical drain current model for dual-material gate graded-channel and dual-oxide thickness cylindrical gate (DMG-GC-DOT) MOSFET

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Nanoscience and Nanotechnology - Asia 2019年第2期9卷 291-297页

作者： Jaafar, Hind Aouaj, Abdellah Bouziane, Ahmed Iñiguez, Benjamin Faculty of Science and Technology Laboratory of Automatic Conversion of Energy and Microelectronics University Sultan Moulay Slimane Beni Mellal Morocco Department of Electronic Electrical and Automatic Control Engineering Universitat Rovira i Virgili Av Paisos Catalans 26 Tarragona43007 Spain

Background: A novel Dual Material Gate Graded Channel and Dual Oxide Thickness Cylindrical Gate (DMG-GC-DOT) MOSFET is presented in this paper. Methods: Analytical model of drain current is developed using a quasi-two-dimensional cylindrical form of the Poisson equation and is expressed as a function of the surface potential, which is calculated using the expressions of the current density. Results: Comparison of the analytical results with 3D numerical simulations using Silvaco Atlas-TCAD software presents a good agreement from subthreshold to strong inversion regime and for different bias voltages. Conclusion: Two oxide thicknesses with different permittivity can effectively improve the subthreshold current of DMG-GC-DOT MOSFET. © 2019 Bentham Science Publishers.

关键词： Drain current

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Dynamics of systems with a discontinuous hysteresis operator and interval translation maps

arXiv

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arXiv 2021年

作者： Kryzhevich, Sergey Avrutin, Viktor Begun, Nikita Rachinskii, Dmitrii Tajbakhsh, Khosro Mathematics and Mechanics Faculty Saint Petersburg State University Russia Institute for Systems Theory and Automatic Control University of Stuttgart Germany Department of Mathematical Sciences University of Texas at Dallas TX United States Faculty of Mathematical Sciences Tarbiat Modares University Iran

We studied topological and metric properties of the so-called interval translation maps (ITMs). For these maps, we introduced the maximal invariant measure and study its properties. Further, we study how the invariant measures depend on the parameters of the system. These results were illustrated by a simple example or a risk management model where interval translation maps appear naturally. Copyright © 2021, The Authors. All rights reserved.

关键词： Risk management

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An IoT Edge Computing System Architecture and its Application

An IoT Edge Computing System Architecture and its Applicatio...

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2020 IEEE International Conference on Networking, Sensing and control, ICNSC 2020

作者： Chen, Shichao Li, Qijie Zhang, Hua Zhu, Fenghua Xiong, Gang Tang, Ying Macau University of Science and Technology State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences China Beijing University of Technology State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Beijing Aerospace Smart Manufacturing Technology Development Co. Ltd Platform Research and Development Department Beijing China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Engineering Research Center of Intelligent Systems and Technology Institute of Automation Cloud Computing Center Chinese Academy of Sciences Beijing China Rowan University Department of Electrical and Computer Engineering GlassboroNJ United States Institute of Smart Education Qingdao Academy of Intelligent Industries Qingdao China

ISBN: (纸本)9781728168531

As the number of devices connected to the Internet of things (IoT) surges, the amount of data explodes. Therefore it not only increases the bandwidth load of data transmission but also aggravates the computing and storage load of a cloud platform. At the same time, the traditional computing paradigm centered on cloud computing cannot meet the real-time requirements in many application scenarios. The emergence of edge computing can solve the problems of realtime data processing and network bandwidth occupation in the current IoT scene. In this paper, according to the characteristics of IoT, such as fragmented data, heterogeneous network, and limited energy consumption, the architecture of an IoT edge computing system is constructed to suit better an IoT scene. In addition, the application of edge computing key technologies such as virtualization, edge intelligence, computing offload, collaborative scheduling and micro-services in resource-constrained IoT scenarios is analyzed in detail. Finally, the functions and application of energy consumption monitoring and optimization to a central air-conditioning system are analyzed and summarized, which is a typical application of edge computing in the context of the IoT. © 2020 IEEE.

关键词： Edge computing

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