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Chinese Automation Congress (CAC)

作者： Yidao Ji Wei Wu School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing P.R. China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing P.R. China

This paper investigates the passivity-based fault detection of semi-Markov jump systems with time-varying delays. By constructing the filter type residual generator and model transformation, the augmented error system is first established. Then, by means of Lyapunov-Krasovskii approach, fault detection conditions are given such that the augmented error systems can satisfy the passivity performance. The desired fault detection gains can be obtained with the help of matrix techniques. The simulation example is presented to show the validity of the design method.

关键词： Fault detection Generators Radio frequency Delays Stability criteria Symmetric matrices Time-varying systems

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General formation control for multi-agent systems with double-integrator dynamics

arXiv

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arXiv 2018年

作者： Wang, Chen Xia, Weiguo Sun, Jinan Fan, Ruifeng Xie, Guangming State Key Laboratory of Turbulence and Complex Systems Intelligent Biomimetic Design Lab College of Engineering Peking University Beijing100871 China School of Control Science and Engineering Dalian University of Technology Dalian116024 China National Engineering Research Center for Software Engineering Peking University Beijing100871 China

We study the general formation problem for a group of mobile agents in a plane, in which the agents are required to maintain a distribution pattern, as well as to rotate around or remain static relative to a static/moving target. The prescribed distribution pattern is a class of general formations that the distances between neighboring agents or the distances from each agent to the target do not need to be equal. Each agent is modeled as a double integrator and can merely perceive the relative information of the target and its neighbors. A distributed control law is designed using the limit-cycle based idea to solve the problem. One merit of the controller is that it can be implemented by each agent in its Frenet-Serret frame so that only local information is utilized without knowing global information. Theoretical analysis is provided of the equilibrium of the N-agent system and of the convergence of its converging part. Numerical simulations are given to show the effectiveness and performance of the proposed controller. Copyright © 2018, The Authors. All rights reserved.

关键词： Mobile agents

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Distributed Localization in Sensor Networks with Communication and measurement Noises

Distributed Localization in Sensor Networks with Communicati...

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Asian control Conference

作者： Fei Wu Yu-Ping Tian Bo Wang 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

The localization problem for sensor networks with communication and measurement noises is studied in this paper. A robust distributed iterative algorithm called ECHO-CMN is presented based on the signed barycentric coordinate representation, which can be calculated only by relative distance measurements. In the algorithm, a dither is added to the sensor states before quantization to randomize the quantization error. To attenuate the communication noise, a gain parameter which decays to zero is used. An unbiased distance estimator is constructed, and nodes can take advantage of the estimator to update the distance estimation before each localization iteration. It can be proved that ECHO-CMN converges to the exact location of each sensor almost surely under some mild assumptions on the noise. Numerical studies illustrate the proposed localization algorithm.

关键词： Noise measurement Quantization (signal) Distance measurement Robustness Convergence Nickel Mathematical model

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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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An Online Modeling Method for Formation Drillability Based on OS-Nadaboost-ELM Algorithm in Deep Drilling Process

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IFAC-PapersOnLine 2017年第1期50卷 12886-12891页

作者： Gan, Chao Cao, Weihua Wu, Min Chen, Xin Hu, Yule Wen, Guojun Gao, Hui Ning, Fulong Ding, Huafeng School of Automation China University of Geosciences Wuhan430074 China Hubei key Laboratory of Adavanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Faculty of Engineering China University of Geosciences Wuhan430074 China School of Mechanical Engineering & Electronic Information China University of Geosciences Wuhan430074 China

To achieve safety, high quality, and efficiency in deep drilling, it is necessary to get formation drillability around the borehole during drilling-trajectory planning and intelligent drilling control. Since the drilling data have the characteristics of low value density and noise in the process of deep drilling, it is difficult to model formation drillability in deep drilling. In this paper, a new online modeling method for formation drillability based on online sequential nadaboost extreme learning machine (OS-Nadaboost-ELM) algorithm has been proposed. Firstly, the well logging parameters are chosen as the inputs of the model, whose output is formation drillability. Then, several ELM models are established and the outputs of these models are as weak learners. Then the weak learners are combined by Nadaboost algorithm in order to get a strong learner. Finally, the recursive least squares algorithm is used to adjust the model. The numerical test results show that, in both prediction accuracy and training efficiency aspects, the proposed method is better than other prediction methods such as multiple regression, gray method, back-propagation neural networks, Nadaboost extreme learning machine and online sequential extreme learning machine. Thus the prediction model serves as the online geological model to develop intelligent drilling systems. © 2017

关键词： E-learning

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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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LoRa on the Move: Performance Evaluation of LoRa in V2X Communications

LoRa on the Move: Performance Evaluation of LoRa in V2X Comm...

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2018 IEEE Intelligent Vehicles Symposium, IV 2018

作者： Li, Yuke Han, Shuangshuang Yang, Linyao Wang, Fei-Yue Zhang, Hui State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Qingdao Academy of Intelligent Industries Qingdao266109 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing100049 China Qingdao Huituo Intelligent Machine Company Qingdao China Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha410073 China Computer Science Department School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Conviva Inc. Silicon ValleyCA94404 United States

ISBN: (纸本)9781538644522

Recent years have witnessed much interest in Low Power Wide Area (LPWA) technologies, which are gaining unprecedented momentum and commercial interest towards the realisation of the Internet of Things (IoT). Long Range (LoRa), as a representative LPWA technology, has the potential to satisfy the growing demand for the longer range and larger amount connectivities in vehicular communication networks. In this paper, LoRa is firstly applied into two typical vehicular networks, namely Vehicle-to-Infrastructure (V2I)and Vehicle-to-Vehicle (V2V), and performance of LoRa schemes with different parameter configurations are evaluated and compared. Further, Monte Carlo simulations indicate that the schemes equipped with higher bandwidth or lower spreading factor exhibit significant advantages in combating the fast fading caused by Doppler effect in networks. © 2018 IEEE.

关键词： Monte Carlo methods

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The effect of waist twisting on walking speed of an amphibious salamander like robot

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Acta Mechanica Sinica 2016年第3期32卷 546-550页

作者： Xin-Yan Yin Li-Chao Jia Chen Wang Guang-Ming Xie Intelligent Control Laboratory College of EngineeringPeking University Key State Laboratory for Turbulence & Complex Systems College of Engineering Peking University

Amphibious salamanders often swing their waist to coordinate quadruped walking in order to improve their crawling speed. A robot with a swing waist joint, like an amphibious salamander, is used to mimic this locomotion.A control method is designed to allow the robot to maintain the rotational speed of its legs continuous and avoid impact between its legs and the ground. An analytical expression is established between the amplitude of the waist joint and the step length. Further, an optimization amplitude is obtained corresponding to the maximum stride. The simulation results based on automatic dynamic analysis of mechanical systems（ADAMS） and physical experiments verify the rationality and validity of this expression.

关键词： Terrestrial locomotion Step length Waist twisting Walking speed

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Local dominant orientation feature histograms (LDOFH) for face recognition

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Applied Informatics 2017年第1期4卷 1-10页

作者： Cui, Xinfang Zhou, Peng Yang, Wankou School of Automation Southeast University Nanjing China Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China

This paper presents a simple and robust feature descriptor method, namely local dominant orientation feature histogram (LDOFH). In this method, the discriminant histogram contains dominant orientation, and the corresponding relative energy value is obtained by calculating the direction and the amplitude of the gradient of each pixel over a local patch. The LM-NNDA (Yang et al. in Pattern Recognit 44:1387–1402, 2011) method based on the principal component analysis (PCA) method is finally employed to reduce the redundancy information and get the low-dimensional and discriminative features. We apply this descriptor on AR, IMM face image databases. Experimental results demonstrate the effectiveness of the proposed LDOFH method.

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Modeling the throughput of IEEE 802.15.4 based wireless networks under interference

Modeling the throughput of IEEE 802.15.4 based wireless netw...

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Bing Han Xianghui Cao Hongbao Shi School of Automation and the Key Lab of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing Jiangsu China

ISBN: (纸本)9781538629024

The IEEE 802.15.4 standard is the basis of many protocol suites such as ZigBee, WirelessHART and MiWi popular in Internet of Things systems, wireless sensor networks, and industrial wireless networks. In practice, due to its working bands are free to access, IEEE 802.15.4 based networks often suffer from interference which will deteriorate the network performance. In this paper, we model the interference as an on-off process and propose a new analytical model for IEEE 802.15.4 based networks which quantitatively characterizes how such interference affects the network throughput. We also conduct extensive simulations which demonstrate the accuracy of the model.

关键词： Interference IEEE 802.15 Standard Throughput Analytical models Data models Protocols Wireless networks

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