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34th International Conference on Software engineering and Knowledge engineering, SEKE 2022

作者： Wang, Li Kong, Xiang-Long Wang, Xiao-Fei Li, Bi-Xin School of Computer Science and Engineering Southeast University Nanjing China Jiangsu Automation Research Institute Lianyungang China NARI Group Corporation Nanjing China

ISBN: (纸本)1891706543

Event-driven architecture is one of the common software architecture patterns. In the process of software evolution, the deviation and corrosion often occur to architecture, which leads to larger deviation between actual software architecture and design architecture. Therefore, it is of great significance to study the approach of software architecture identification and refactoring. To solve this problem, we propose an identification and refactoring approach of event-driven based on ontology, i.e., IRABO. We evaluated IRABO on 50 open-source projects and the results show that it performs effectively and efficiently. © 2022 Knowledge Systems institute Graduate School. All rights reserved.

关键词： Software architecture

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Robust model matching for geometric fault detection filters

Robust model matching for geometric fault detection filters

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作者： Seiler, Peter Bokor, József Vanek, Balint Balas, Gary J. Aerospace and Engineering Mechanics Department University of Minnesota United States Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Hungary

ISBN: (纸本)9781457700804

Geometric fault detection and isolation filters are known for having excellent fault isolation properties. However, they are generally assumed to be sensitive to model uncertainty and noise. This paper proposes a robust model matching method to incorporate model uncertainty into the design of geometric fault detection filters. Several existing methods for robust filter synthesis are described to solve the robust model matching problem. It is then shown that the robust model matching problem has an interesting self-optimality property for multiplicative input uncertainty models. Finally, a simple example is presented to study the effect of parametric uncertainty and unmodeled dynamics on the performance of a geometric filter. © 2011 AACC American Automatic control Council.

关键词： Bandpass filters

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Optimal DoS Attack Strategy against Remote State Estimation Over Lossy Networks 29

Optimal DoS Attack Strategy against Remote State Estimation ...

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第29届中国控制与决策会议

作者： Menglin Li Jiahu Qin Ling Shi Xinghuo Yu Huijun Gao Department of Automation University of Science and Technology of China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology School of Engineering RMIT University Research Institute of Intelhgent Control and Systems Harbin Institute of Technology

ISBN: (纸本)9781509046584

This paper considers a Denial-of-Service(DoS) attack scheduling ***,a sensor employs the wireless fink to send the data packet to the remote estimator at each time step,while an energy-constrained attacker launches DoS attacks against the remote state estimation,and designs an optimal attack strategy to maximize damage to the remote estimation *** packet will drop if the channel is *** most of the existing works on DoS attacks,it is assumed that the wireless channel is perfect,i.e.,the packet dropout never occurs in the absence of ***,this is far from the practical *** encompass the lossy nature of wireless networks,we study the scenario of lossy networks in which the packet may drop even without attack,and construct the optimal attack strategy that maximizes the average expected estimation error at the remote estimator over lossy *** simulations are provided to demonstrate the effectiveness of the theoretical results.

关键词： Cyber-Physical Systems DoS attack lossy networks energy constraint remote state estimation

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Set-Based Actuator Reconfguration Analysis for the Integrated control of Lateral Vehicle Dynamics

Set-Based Actuator Reconfguration Analysis for the Integrate...

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作者： Gaspar, Péter Németh, Balázs Institute for Computer Science and Control Hungarian Academy of Sciences and MTA-BME Control Engineering Research Group Budapest Hungary Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary

The paper proposes a set-based analysis of steering and braking actuator integration in order to improve the reconfguration strategy of lateral vehicle control. The purpose is to examine the improvement possibilities of the stabilization abilities through actuator integration. The results are applied to the theoretical basis of the actuator selection strategy in the reconfgurable control. In the analysis the computation method of the maximum controlled Invariant Sets based on the nonlinear Sum-of-Squares (SOS) programming is used. The analysis considers the nonlinear characteristics of the tyre, the velocity and the tyre-road conditions which signifcantly determine the stability regions in the lateral dynamics. Thus, the resulting sets provide information about the stabilization abilities of the actuators for the entire vehicle system. The examination of the integrated actuation in the reconfguration strategy is illustrated through various vehicle manoeuvres. © 2015

关键词： Actuators

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Investigating H2 optimality of two-degree of freedom control systems

Investigating H2 optimality of two-degree of freedom control...

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Mediterranean Conference on control and automation (MED)

作者： L. Keviczky Cs. Banyasz Computer and Automation Research Institute and Control Engineering Research Group Hungarian Academy of Sciences (ATOMKI) Hungary

The control error in a generic two-degree of freedom (TDOF) control system has three major parts: design, realizability, and modeling loss. The paper investigates the optimality of the second term in this decompositio... 详细信息

关键词： Hydrogen Optimal control control systems Error correction Mathematical model control system synthesis Automatic control Transfer functions Regulators Degradation

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Social Energy:Mining Energy From the Society

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IEEE/CAA Journal of Automatica Sinica 2017年第3期4卷 466-482页

作者： Jun Jason Zhang David Wenzhong Gao Yingchen Zhang Xiao Wang Xiangyang Zhao Dongliang Duan Xiaoxiao Dai Jun Hao Fei-Yue Wang Department of Electrical and Computer Engineering Ritchie School of Engineering and Computer ScienceUniversity of Denver IEEE National Renewable Energy Laboratory Qingdao Academy of Intelligent Industries(QAII) QingdaoShandongChinaand SKL-MCCSCASIA School of Automation Science and Electrical Engineering Beihang University Department of Electrical and Computer Engineering College of Engineering and Applied ScienceUniversity of Wyoming State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences(SKL-MCCSCASIA) Research Center of Computational Experiments and Parallel Systems National University of Defense Technology

The inherent nature of energy,i.e.,physicality,sociality and informatization,implies the inevitable and intensive interaction between energy systems and social *** this perspective,we define "social energy" as a complex sociotechnical system of energy systems,social systems and the derived artificial virtual systems which characterize the intense intersystem and intra-system *** recent advancement in intelligent technology,including artificial intelligence and machine learning technologies,sensing and communication in Internet of Things technologies,and massive high performance computing and extreme-scale data analytics technologies,enables the possibility of substantial advancement in socio-technical system optimization,scheduling,control and *** this paper,we provide a discussion on the nature of energy,and then propose the concept and intention of social energy systems for electrical power.A general methodology of establishing and investigating social energy is proposed,which is based on the ACP approach,i.e., "artificial systems"(A), "computational experiments"(C) and "parallel execution"(P),and parallel system methodology.A case study on the University of Denver(DU) campus grid is provided and studied to demonstrate the social energy *** the concluding remarks,we discuss the technical pathway,in both social and nature sciences,to social energy,and our vision on its future.

关键词： ACP distribution locational marginal pricing intelligent operation in power systems parallel control parallel intelligence parallel management social energy socio-technical energy systems

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Design of low confict cruise control for safety critical vehicle interactions

Design of low confict cruise control for safety critical veh...

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作者： Németh, Balázs Gaspar, Péter Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary Institute for Computer Science and Control Hungarian Academy of Sciences and MTA-BME Control Engineering Research Group Budapest Hungary

In the paper a speed profle design strategy to avoid safety conficts in vehicle interactions is proposed. A fault-tolerant strategy for an intersection scenario is presented, which handles the malfunction of the trafc control elements, such as trafc lights. The signals obtained from the road and vehicles in the trafc are handled jointly with the dynamic equations of the vehicle and built into the control design of speed. The look-ahead cruise control method is able to guarantee safety and fnd an energy-efcient solution with the incorporation of road grade and speed limits. The efciency of the method is demonstrated through simulation examples. © 2015

关键词： Roads and streets

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Short-term Cooling,Heating and Electrical Load Forecasting in Business Parks Based on Improved Entropy Method 36

Short-term Cooling,Heating and Electrical Load Forecasting i...

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第36届中国控制会议

作者： Ling Cheng Yu Zhang Li Suo Si Shen Fang Fang Lu Jin China Electrical Power Research Institute State Grid Shanghai Municipal Electric Power Company Electric Power Research Institute NARI Group Corporation/State Grid Electric Power Research Institute The School of Control and Computer Engineering North China Electric Power University

ISBN: (纸本)9781538629185

Short-term cooling,heating and electrical load forecasting in business parks is the basis of safe and economical operation of the scheduling system,and its accuracy is largely influenced by the selection of similar *** order to improve the accuracy of load forecasting,a short-term load forecasting method based on improved entropy method is *** method is used in the similar day selection and the similar day weight determination *** overcomes the drawback of traditional entropy weight method that the information transferred by entropy weight and entropy value is inconsistent when all entropy values are close to *** verification example shows that this method can not only select the most suitable similar day from the historical day,but also has a faster computing speed than the conventional intelligent algorithm.

关键词： short-term cooling heating and electrical load forecasting improved entropy method similar days

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Modeling and identification of a Nuclear reactor with temperature dependent reactivity

Modeling and identification of a Nuclear reactor with temper...

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European control Conference (ECC)

作者： Csaba Fazekas Attila Gábor Katalin M. Hangos Process Control Research Group Computer and Automation Research Institute Budapest Hungary

A simple dynamic model of a nuclear reactor with temperature dependent reactivity and six groups of neutron emitting nuclei is developed in this paper based on first engineering principles. The proposed model contains the possible minimal number of differential equations and it is capable of describing important dynamic phenomena such as load change transients between day and night periods. Because the model is nonlinear in its parameters, an optimization-based parameter estimation procedure has been applied by using the Nelder-Mead algorithm and measured data from the Paks Nuclear Power Plant. The estimated parameter values fall into physically meaningful ranges and the response of the constructed reactor model shows a good fit to the measurement data.

关键词： Neutrons Mathematical model Inductors Temperature measurement Load modeling Fuels Integrated circuit modeling

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Spatial information considered convolutional neural network for electroencephalogram-based motor imagery classification 3

Spatial information considered convolutional neural network ...

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3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, CAMMIC 2023

作者： Shi, Hongbing Zhang, Jinhui Pei, Zhongcai School of Automation Science and Electrical Engineering Beihang University Beijing China North Information Control Research Institute Group Co. Ltd. China

ISBN: (数字)9781510667617

ISBN: (纸本)9781510667600

As brain-computer interface (BCI) technology continues to advance in various fields, it has become one of the possible solutions for patients with motor dysfunction who have healthy thinking ability to regain motor ability. The vigorous development of deep learning (DL) provides it with a possible tool to analyze electroencephalogram (EEG) signals. Through analyzing and categorizing EEG signals associated with motor imagery (MI), the system can effectively perceive the patient's motor intentions. Currently, Convolutional Neural Networks (CNN) have exhibited exceptional performance in a variety of fields, including computer vision (CV) and natural language processing (NLP). However, the brain structure has rich spatial information, which was not fully utilized by CNN for MI-EEG signal analysis in the past. This paper introduces SP-CNN, a convolutional neural network that incorporates spatial information from the brain, to address the classification challenge of MI-EEG signals. The experimental findings indicate that this method exhibits stable and robust performance across diverse subjects. © 2023 SPIE.

关键词： Electroencephalography

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