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Asian control Conference

作者： Siheng Zong Yu-Ping Tian School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China

ISBN: (纸本)9781509015740;9781509015733

This paper studies the similar formation algorithm of multi-agent systems with biased measurement errors. When relative position measurements contain biased errors, the existing similar formation algorithm is not mean reachable in general. This paper proposes a modified similar formation algorithm with which agents can overcome biased measurement errors online and reach any desired generic formation shape in the expectation sense. The formation error is globally uniformly bounded in the mean square sense.

关键词： measurement errors Position measurement Nickel Topology measurement uncertainty Algorithm design and analysis Eigenvalues and eigenfunctions

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A New Processing Method of Infrared Temperature Images in Copper Electrolysis

A New Processing Method of Infrared Temperature Images in Co...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Zhiying Hong Qingling Wang School of Automation Southeast University Nanjing China Ministry of Education Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing China

In the copper electrolytic refining process, the short-circuit failure among the electrodes usually exists. When it occurs, the temperature distribution is often abnormal, accompanied by local or overall overheating. This paper proposes a novel processing method for infrared temperature images to effectively detect the short-circuit fault and locate the accurate malfunctioning spots. The design procedure contains contrast enhancement, filter denoising, edge detection, image segmentation, high temperature electrode positioning. Finally, experimental results show that the proposed method can guarantee real-time processing of the infrared image of the electrolytic cell and accurately mark the malfunctioning position of electrodes with high temperature fault.

关键词： Histograms Electrodes Copper Image edge detection Image enhancement Temperature distribution Image reconstruction

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Coordinated Adaptive Flowfield Estimation for Second-Order Agents Formation Tracking Given Orbits 35

Coordinated Adaptive Flowfield Estimation for Second-Order A...

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第35届中国控制会议

作者： CHEN Yang-Yang TIAN Yu-Ping WANG Zan-Zan School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University

ISBN: (纸本)9781509009107

This paper deals with cooperative estimation and control for second-order agents formation tracking a set of given orbit in an external flowfield,where only direction of flow inertial velocity is spatiotemporal and known.A novel coordinated adaptive estimator based on local neighbor-to-neighbor information is proposed to estimate the flow *** is shown that our previous geometric extension design,consensus and adaptive backstepping method can be combined together to construct the robust formation tracking controller under bidirectional *** theoretical result is proved by the numerical simulation.

关键词： Coordinated Adaptive Estimation Second-Order Agents Formation Tracking control

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GPIO based backstepping control for electronic throttle

GPIO based backstepping control for electronic throttle

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Annual Conference of Industrial Electronics Society

作者： Ke Shi Zuo Wang Chao Wu Shihua Li Senior Member IEEE School of Automation Southeast University Nanjing PR China Ministry of Education Key Laboratory of Measurement and Control of Complex Systems of Engineering PR China

This paper mainly studies the angle tracking problem in electronic throttle system with unknown time-varying disturbances. Firstly, generalized proportional integral observer (GPIO) is used to estimate the time-varying disturbances including model uncertainties, friction torque and spring initial torque. Secondly, a composite controller combining disturbance estimation and backstepping control method is designed, which is called the BSC+GPIO method. This control method is convenient to implement and the disturbance rejection capability is enhanced by feedforward compensating the estimated value of system disturbances. The simulation results show the effectiveness of the proposed method.

关键词： Torque Observers DC motors Friction Backstepping Springs

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Adaptive Vi Be background model for vehicle detection

Adaptive Vi Be background model for vehicle detection

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Chengyi Pan Zhou Zhu Liangwei Jiang Min Wang Xiaobo Lu School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Nanjing University of Science & Technology Key Laboratory of Ministry of Public Security for Road Traffic Safety

Background extraction is an important step in vehicle detection. In the actual scene, change of illumination will lead to a tremendous background change. It is necessary to update the background model

ISBN: (纸本)9781467389808

关键词： Background ViBe Adaptive Error function Evaluation conditions Vehicle detection Vehicle detection ERROR FUNCTIONS Self tuning BACKGROUND illumination Lighting

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A Deep Learning Approach for Face Detection and Location on Highway

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IOP Conference Series: Materials Science and engineering 2018年第1期435卷

作者： Yang Zhang Peihua Lv Xiaobo Lu School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China

Face detection and location technique is a hot research direction during recent years. Especially, driver face detection on highway is still a challenging problem in social safty deserving research. This paper proposes a novel algorithm based on the improved Multi-task Cascaded Convolutional Networks (MTCNN) and Support Vector Machine (SVM) to realize accurate face region detection and feature location of driver's face on highway, predicting face and feature location via a coarse-to-fine pattern. The proposed algorithm is verified under various complex highway conditions. Experimental results show that the proposed model shows satisfied performance compared to other state-of-the-art techniques used in driver face detection and alignment, keeping robust to the occlusions, varying pose and extreme illumination on highway.

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Single Image Depth Level Estimation Using Dark Channel Prior

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IOP Conference Series: Materials Science and engineering 2018年第1期435卷

作者： Yichao Cao Xiaobo Lu School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China

In this paper, we present a simple image depth level estimation algorithm. From the dark channel prior theory, an estimate of the air transmittance in the image is calculated. In wild surveillance, the disparity in the image poses a huge challenge for smoke detection and other video analysis tasks. Appropriate depth level estimation provide significant prior knowledge for subsequent identification and detection. For landscape images, we can approximate the air transmittance to depth information for histogram analysis. The depth value is segmented by a multi-threshold segmentation algorithm, and the resulting image can be used for forest fireworks detection and the like. This method does not rely on samples and classifiers, and the algorithm does not require training. The final experimental results show that the depth level estimation of a single landscape image based on the dark channel prior can achieve good results.

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Weighted Consensus of Multi-Agent systems Using both Time-delay State and Current State 35

Weighted Consensus of Multi-Agent Systems Using both Time-de...

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第35届中国控制会议

作者： He Ying-gao Wang Xiang-yu Wuxi Institute of Arts & Technology School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781509009107

This paper investigates consensus of continuous-time multi-agent system through adjusting the proportion of the current state and time-delay state in the control algorithm,supposing that its topology is fixed and a directed interconnection graph which contains a spanning tree.A sufficient condition for the convergence to a consensus is proposed and proved based on the generalized Nyquist stability criterion and the Gerschgorin disk theorem.A method is found to enlarge upper bound on the maximum time-delay,numerical simulations are shown to demonstrate the validity of the achieved theoretical results.

关键词： multi-agent system weighted consensus Nyquist criterion Gerschgorin disk theorem

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Room temperature continuous-wave excited biexciton emission in CsPbBr3 nanocrystals

arXiv

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arXiv 2018年

作者： Chen, Jie Zhang, Qing Du, Wenna Mi, Yang Shang, Qiuyu Shi, Jia Liu, Pengchong Sui, Xinyu Wu, Xianxin Wang, Rui Peng, Bo Zhong, Haizheng Xing, Guichuan Qiu, Xiaohui Sum, Tze Chien Liu, Xinfeng Division of Nanophotonics CAS Key Laboratory of Standardization and Measurement for Nanotechnology CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology Beijing100190 China University of Chinese Academy of Sciences 19 A Yuquan Rd Shijingshan District Beijing100049 China Department of Materials Science and Engineering College of Engineering Peking University Beijing100871 China Research Center for Wide Band Semiconductor Peking University China National Engineering Research Center of Electromagnetic Radiation Control Materials State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of China Beijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic Systems School of Materials Science & Engineering Beijing Institute of Technology China Institute of Applied Physics and Materials Engineering University of Macau China School of Physical & Mathematical Sciences Nanyang Technological University 21 Nanyang Link Singapore

Biexcitons are a manifestation of many-body excitonic interactions crucial for quantum information and quantum computation in the construction of coherent combinations of quantum states. However, due to their small binding energy and low transition efficiency, most biexcitons in conventional semiconductors exist either at cryogenic temperature or under femtosecond pulse laser excitation. Here we demonstrate room temperature, continuous wave driven biexciton states in CsPbBr3 perovskite nanocrystals through coupling with a plasmonic nanogap. The room temperature CsPbBr3 biexciton excitation fluence (~100 mW/cm2) is reduced by ~1013 times in the Ag nanowire-film nanogaps. The giant enhancement of biexciton emission is driven by coherent biexciton-plasmon Fano interference. These results provide new pathways to develop high efficiency non-blinking single photon sources, entangled light sources and lasers based on biexciton states. Copyright © 2018, The Authors. All rights reserved.

关键词： Cesium compounds

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Neural Adaptive control of Microgrid Frequency Regulation with Wind Power

Neural Adaptive Control of Microgrid Frequency Regulation wi...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Weiqiang Liu Chaoxu Mu Ding Wang Chao Luo Chao Ren Tianjin Key Laboratory of Process Measurement and Control Tianjin University Tianjin China School of Automation Southeast University Nanjing China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China School of Electrical Engineering Wuhan University Wuhan China

Due to the uncertainty of power load demand and the stochastic power generation from renewable energy, frequency fluctuation becomes a major concern of power system, especially for a microgrid. In this paper, an improved proportional-integral (PI) controller based on the neural adaptive control method is proposed to deal with the load frequency control (LFC) problem in a microgrid with wind power. The designed neural adaptive control auxiliary controller is used to provide the adaptive supplement control signal to PI controller in a real-time manner. Simulation studies on a benchmark microgrid system are carried out between the proposed compound controller and traditional PI controller. The simulation results demonstrate the proposed method has a superior performance for stabilizing the frequency over the traditional PI control under disturbances from the load change and wind power.

关键词： Adaptive control Microgrids Frequency control Wind turbines Benchmark testing Power system stability

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