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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Wei Liu Fenghua Zhu Xisong Dong Gang Xiong Yongqiang Zhu Huazhou Wu Taozhong Liu Yuexiang Hu The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China College of Information Science and Technology Beijing University of Chemical Technology Beijing China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing China Instituteof Smart Education Systems Qingdao Academy of Intelligent Industries Qingdao China Dongguan Research Institute of CASIA Chinese Academy of Sciences Dongguan China Xiamen Kingtopinfo Technology Co. Ltd Xiamen China Joint Laboratory of Parallel Management & Control and Business Intelligence Hainan Zhongke Flower Ocean Cloud Commerce Technology Co. Ltd Haikou China

ISBN: (纸本)9781509029280

The rapidly growing amount of social interaction makes geographical names an important and indispensable medium for people in social and economic exchanges. Especially in today's information age, the frequency of usage of name information has increased greatly. In this paper, a method for the construction of a cities' names database is proposed. This will include the processing of the outcome data from the names pilot survey, the consolidation into the database, the development of the cloud service and management system based on the geographical names and zoning database, and the construction of a relatively complete set of the public service system of geographical names based on a website and touch screen interface. The method has been applied in SanYa, China successfully, and very good results have been obtained. The platform can provide not only accurate and convenient services of geographical names, but also promote its economic development and social progress.

关键词： Urban areas Standards Cloud computing Economics Spatial databases Geospatial analysis

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Multirate Partial Least Squares for Process Monitoring

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IFAC-PapersOnLine 2015年第8期48卷 771-776页

作者： Ya Cong Zhiqiang Ge Zhihuan Song State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Department of Control Science and Engineering Zhejiang University Hangzhou 310027 Zhejiang P. R. China Tel: +86-87951442

In most chemical processes, variables are sampled at different rates which brings great challenges to traditional process monitoring methods that are built upon single sampling rate. In this paper, a multi-rate partial least squares algorithm is proposed. Compared to the traditional PLS method, the proposed algorithm takes use of the incomplete data samples through a modification of both of the covariance matrix of the input dataset and the covariance matrix between the input and output datasets. Iteration is used in the model training step to avoid the calculation of same parameters which requires complete training datasets. Then the fault detection and online prediction strategy is proposed based on this algorithm. A case study on TE process shows that the proposed method had an enhanced performance on both monitoring and online prediction, compared to the traditional PLS method.

关键词： Multi-rate Process Monitoring Partial Least Squares Fault Detection Online prediction

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Application of Clustering Technique to Electricity Customer Classification for Load Forecasting

Application of Clustering Technique to Electricity Customer ...

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IEEE International Conference on Information and Automation

作者： Yanlong Wang Li Li Qinmin Yang Department of Control Science and Engineering Zhejiang University Beijing Institute of Astronautical Systems Engineering State Key Laboratory of Industrial Control Technology Zhejiang University

ISBN: (纸本)9781467391054

With the development of smart grid and opening-up progress of the electricity market, Customer Relationship Management (CRM) plays a more and more important role in the power electric industry. Conducting medium and long term consumption pattern analysis of major customers can help the electricity providers grasp the changing trends of the future consumption, and thus better formulate the dedicated tariff offers and provide professional services according to various consumer demands. However, it's computationally costly and impossible to conduct such analysis for every single customer. To overcome this complexity, this paper aims to provide an effective solution to group customers into certain number of categories with similar electrical behavior by utilizing clustering techniques. By combining distance and correlation, a novel clustering validity indicator is proposed to evaluate the effectiveness of clustering procedure, which is subsequently helpful for choosing algorithms and the optimum number of clusters. Eventually, a case study has been conducted with electricity market data including various electricity customers from different industrial fields. Two frequently-used clustering algorithms have been employed to illustrate the feasibility of the proposed approach.

关键词： CRM Consumption pattern Data similarity Clustering technique Priority indicator

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A DE based PID controller for two dimensional overhead crane

A DE based PID controller for two dimensional overhead crane

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第三十四届中国控制会议

作者： Zhe Sun Ning Wang Yunrui Bi Jinhui Zhao National Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang University Key Laboratory of Measurement and Control of CSE Ministry of EducationSchool of AutomationSoutheast University College of Mechanical and Electrical Engineering China Jiliang University

ISBN: (纸本)9781467374439

In order to damp the load oscillation, a DE optimal PID controller is designed for overhead crane control *** by bee colony foraging mechanism, a neighborhood search operation is adopted for differential evolution(DE) algorithm to improve the search efficiency. This improved DE algorithm is employed to adjust PID controller parameters off-line. Through simulation and comparison under different operation conditions, the DE based PID controller exhibits the better performance in overhead crane anti-swing and position control.

关键词： PID control,DE algorithm,Parameter optimization,Overhead crane

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Cloud control systems

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自动化学报 2015年第2期2卷 134-142页

作者： Xia Yuanqing the School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081

The concept of cloud control systems is discussed in this paper, which is an extension of networked control systems (NCSs). With the development of internet of things (IOT), the technology of NCSs has played a key role in IOT. At the same time, cloud computing is developed rapidly, which provides a perfect platform for big data processing, controller design and performance assessment. The research on cloud control systems will give new contribution to the control theory and applications in the near future.

关键词： Cloud control systems (NCSs) networked control systems cloud computing cyber-physical systems (CPSs) big data

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Identification of FIR systems with Quantized Inputs and Observations

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IFAC-PapersOnLine 2015年第28期48卷 674-679页

作者： Guo, Jin Wang, Le Yi Yin, George Zhao, Yanlong Zhang, Ji-Feng School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Department of Electrical and Computer Engineering Wayne State University DetroitMI48202 United States Department of Mathematics Wayne State University DetroitMI48202 United States Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

This paper introduces identification algorithms for finite impulse response systems under quantized output observations and general quantized inputs. While asymptotically efficient algorithms for quantized identification under periodic inputs are available, their counterpart under general inputs has encountered technical difficulties and evaded satisfactory resolutions. Under quantized inputs, this paper resolves this issue with constructive solutions. A two-step algorithm is developed, which demonstrates desired convergence properties including strong convergence, mean-square convergence, convergence rates, asymptotic normality, and asymptotical efficiency in terms of the Cramér-Rao lower bound. Some essential conditions on input excitation are derived that ensure identifiability and convergence. It is shown that by a suitable selection of the algorithm's weighting matrix, the estimates become asymptotically efficient. The strong and mean-square convergence rates are explicitly obtained. Optimal input design is discussed. Numerical examples are included to illustrate the main results of this paper © 2015

关键词： FIR filters Efficiency Identification (control systems) Impulse response Asymptotic efficiency Asymptotically efficient Finite impulse response system Identification algorithms Input design Mean square convergences non periodic input quantization

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Analysis and control of Doubly Fed Induction Generator for Zero Voltage Ride Through

Analysis and Control of Doubly Fed Induction Generator for Z...

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International Conference on Electrical Machines and systems

作者： Haiyan Tang Yuanzhu Chang Yongning Chi Bo Wang Yan Li Jiabing Hu State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute. Beijing 100192 China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781467388634

The stator transient DC flux component emerges in the Double Fed Induction Generator (DFIG) following grid voltage dip, which results in an important influence on the controllability of rotor converter. In this paper, the research focuses on the responding time of the dynamic reactive current injection referring to DFIG with the crowbar protection under Zero Voltage Ride-Through (ZVRT). Firstly, theoretical analysis about the shortest quitting time of crowbar is carried out. Then, combined with crowbar protection and demagnetization control, ZVRT of DFIG is achieved as well as the fast injection of dynamic reactive current. Finally, the simulation results are presented to verify the theoretical analysis and the proposed control strategy. It is helpful to enhance fault ride through capability of DFIG.

关键词： Crowbar DFIG Dynamic reactive current injection ZVRT

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An Improved Isomap Algorithm Based on LP-Centers

An Improved Isomap Algorithm Based on LP-Centers

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2015 International Conference on Artificial Intelligence and industrial Engineering(AIIE 2015)

作者： W.W.Chen W.J.Mao State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University

ISBN: (纸本)9781510806450

The isometric feature mapping(Isomap) is one of the widely used low-dimensional embedding methods. However, Isomap has three bottlenecks: sensitivity to outliers, high computational complexity and topological instability caused by short-circuit edges. To address above problems, by introducing the concepts of linear patch(LP) and k-nearest center(k-NC), a LP-center based Isomap(LPC-Isomap) approach is proposed in this paper. Firstly, before constructing a neighborhood graph, outliers are eliminated by LPC-Isomap. Then LP-centers are selected reasonably as landmark points by LPC-Isomap to reduce computational complexity. We compute the intersections between k-NC of each pair of points. If an intersection is empty, the edge connecting the corresponding pair of points is considered as a short-circuit edge. Lastly, the useful behavior of LPC-Isomap is verified through numerical examples with several data sets.

关键词： Isomap linear patch(LP) k-nearest center(k-NC) LPC-Isomap

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Coordinated Transportation of a Group of Unmanned Ground Vehicles

Coordinated Transportation of a Group of Unmanned Ground Veh...

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第三十四届中国控制会议

作者： Yunpeng Wang Long Cheng Zeng-Guang Hou Min Tan Hongnian Yu State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Faculty of Science and Technology Bournemouth University

ISBN: (纸本)9781467374439

This paper studies a coordinated transportation problem of a group of unmanned ground vehicles(UGVs). These ground vehicles belong to two categories: master vehicles and slave vehicles. A two-step strategy is proposed to solve this problem. First, let the master vehicles move along ideal trajectories. Then, let the slave vehicles move into the area surrounded by master vehicles and move together with them. By the two-step strategy, the coordinated transportation problem is divided into a tracking problem and a containment problem. A P In-type tracking protocol and a P In-type containment protocol(P and I stand for Proportion and Integration, respectively;Inimplies that the protocol includes high-order integral terms) are proposed to solve these two problems. It is proved that the coordinated transportation problem can be solved by two proposed protocols with proper parameters if for each follower there exists at least one leader which has a directed path to this follower. Finally, a simulation example is presented to demonstrate the effectiveness of the proposed algorithms.

关键词： Coordinated transportation,Polynomial trajectory,Containment control,Multi-agent system.

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Reach almost sure consensus with only group information

Reach almost sure consensus with only group information

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作者： Lin, Zhiyun Hou, Jian Yan, Gangfeng Yu, Changbin State Key Laboratory of Industrial Control Technology College of Electrical Engineering Zhejiang University 38 Zheda Road Hangzhou310027 China School of Electrical Engineering and Computer Science University of Newcastle CallaghanNSW2308 Australia Beijing Aerospace Automatic Control Institute Beijing100854 China National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing100854 China Research School of Engineering Australian National University CanberraACT2600 Australia

This brief presents a new distributed scheme to solve the consensus problem for a group of agents if neither their absolute states nor inter-agent relative states are available. The new scheme considers a random partition of agents into two subgroups at each step and then uses the relative group representative state as feedback information for the consensus purpose. It is then shown that almost sure consensus can be achieved under the proposed scheme in both discrete time and continuous time. For the discrete time case, almost sure consensus is achieved if and only if the weighting parameter for state update is greater than one. For the continuous time case, almost sure consensus is realized when the weighting parameter is positive. Moreover, it is shown that if a uniform probability is considered for group selection, then the group of agents can reach average consensus in mean. © 2014 Elsevier. Ltd All rights reserved.

关键词： Multi agent systems

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