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第三十四届中国控制会议

作者： Jun Ma Jiajun Yang Xiaoqiang Zhang Ying Huang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education School of Management and Engineering Nanjing University

ISBN: (纸本)9781467374439

In this paper, we investigate the dynamics of Chinese stock market from a complex network perspective, based on daily uctuations of all stocks during 1906 working day period from 2005 to 2012. In the network being constructed, each node is a stock, and each edge indicates the time correlation coef cient of two stocks over a window of T days. The network evolves chronologically as the window slides in forward time at a ΔT-days interval. By examining the variation of the network parameters as time elapses, we show that the degree distributions of Chinese stock market networks are heavy-tailed, but cannot follow the power-law when the Chinese stock market experiences a bear market. And the edge density is exceedingly large at the bearish periods. Moreover, we discuss how a network approach can be used to build a well-diversi ed portfolio. We nd that investments in stocks that occupy central, highly connected in the Chinese stock network outperform after the intervention of positive policy.

关键词： Stock market,Complex network,Dynamic evolution,Degree distribution,Stock indexes,Portfolio Analysis

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A Simulation Platform for Characteristic Model-Based Adaptive control systems

A Simulation Platform for Characteristic Model-Based Adaptiv...

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第三十四届中国控制会议

作者： Liangren Shi Zongli Lin Yuanlong Li Department of Automation and Key Laboratory of System Control and Information ProcessingShanghai Jiao Tong University Charles L. Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781467374439

Characteristic modeling and the adaptive control design based on it have attracted increasing attention from the research community due to their many successful practical applications that have been reported. This paper presents a Matlab simulation platform that has been developed to facilitate the study of characteristic model based adaptive control systems. The simulation platform consists of two interweaving components: for a given continuous-time linear time-invariant plant, represented by a transfer function, and a specified sampling period, the simulation platform calculates a discretized model of the plant, and the corresponding characteristic model, and with a specified set of initial conditions of the characteristic model and its coefficients, along with the specified duration of simulation and reference input, the simulation platform will adaptively tune the coefficients of the characteristic model and calculate the outputs of the plant and the characteristic model. All the data needed for the simulation will be entered through a graphic user interface, which also plots the evolution of the outputs of the plant and the characteristic model as well as the evolution of the coefficients of the characteristic model. The simulation results can also be saved for off line plotting and analysis through the graphic user interface.

关键词： Characteristic model,adaptive control,simulation

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Energy-saving optimization of urban drainage system based on pump performance

Energy-saving optimization of urban drainage system based on...

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第27届中国控制与决策会议

作者： Shufang Hou Dewei Li Yugeng Xi Lihui Cen Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information ProcessingMinistry of Education China Institute of Information Science and Engineering Central South University

To reduce wastewater overflow and high power cost caused by unreasonably operating pump device in urban drainage system,a pump performance-based energy optimization strategy is proposed.A mathematical model is built based on the typical topological structure of urban drainage systems,and the calculation equations for sewerage inflow,outflow and storage condition of relevant pumping stations are *** energy saving optimization algorithm regard pump efficiency as linear which limits the optimization *** guarantee the energy saving effect,a nonlinear mathematical model of pump performance is *** to the nonlinear relationships among pump flow,head and efficiency,total energy consumption in the next two time-domain is *** consumption of the system can be reduced by optimizing the outflow of relevant pump stations *** with traditional control methods of urban drainage system,the simulation results demonstrate that the proposed optimization algorithm can reduce system energy consumption as well as avoid wastewater overflow efficiently.

关键词： Urban Drainage system,Pump Efficiency,Energy-saving,Dynamic Optimization

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Repetitive controller with low-pass filter compensation applied to Uninterruptible Power Supplies (UPS) 41

Repetitive controller with low-pass filter compensation appl...

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41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015

作者： Lorenzini, Charles Flores, Jeferson Vieira Pereira, Luis Fernando Alves Salton, Aurelio Tergolina Castro, Rafael Silveira Department of Electrical Engineering Universidade Federal Do Rio Grande Do sul Av. Osvaldo Aranha 103 Porto Alegre-RS90035-190 Brazil Automation and System Control Group Pontifícia Universidade Católica Do Rio Grande Do sul Av. Ipiranga 6681 Porto Alegre-RS90619-900 Brazil

ISBN: (纸本)9781479917624

In this paper is proposed a method to improve the tracking performance of repetitive controllers in Uninterruptible Power Supplies (UPS). The main idea is to simultaneously compensate the gain reduction and frequency shift caused by the introduction of a low-pass filter in series with the delay element. Also, an optimization problem based on LMI constraints is presented to determine controller gains that guarantee stability and performance of the closed loop system. Simulation results based on the output stage of 3.5kVA UPS demonstrate the effectiveness of the proposed method. © 2015 IEEE.

关键词： Uninterruptible power systems

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Observer-Based Robust Coordinated Tracking of Multi-Agent systems with Input Saturation

Observer-Based Robust Coordinated Tracking of Multi-Agent Sy...

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IEEE Annual Conference on Decision and control

作者： Xiaoling Wang Housheng Su Xiaofan Wang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Department of Control Science and Engineering Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781479978878

This paper addresses the robust semi-global coordinated tracking problem of multiple-input multiple-output (MIMO) multi-agent systems with input saturation and communication noise. A distributed observer-based coordinated tracking protocol is constructed by combining a novel parameterized low-and-high feedback technique with the high-gain observers design approach. It is shown that, under the assumptions that each agent is asymptotically null-controllable with bounded controls and the network is connected, semi-global consensus tracking or semi-global swarm tracking can be attained for left-invertible and minimal-phase systems.

关键词： noise(communication) bounded control tracking high gain Agents

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Bilateral Teleoperation of Multiple Agents with Formation control

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IEEE/CAA Journal of Automatica Sinica 2014年第2期1卷 141-148页

作者： Jing Yan Xian Yang Cailian Chen Xiaoyuan Luo Xinping Guan Institute of Electrical Engineering Yanshan University Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China

This paper studies the formation problem for multislave teleoperation system over general communication networks,where multiple mobile slave agents are coupled with a single master robot. The forward and backward network transmission time delays are assumed to be asymmetric and *** to the quantization in the network, a dynamic quantization strategy is provided to quantize the output signals of the master robot and slave agents before transmitting. Then, a novel masterslave protocol is designed to achieve the formation task under variable time delays and quantization. Additionally, the sufficient conditions for stability are presented to show that the formation protocol can stabilize the master-slave system under variable time delays and quantization. Finally, simulation are performed to show effectiveness of the main results.

关键词： Robots Quantization (signal) Delay effects Protocols Stability analysis Delays Multi-agent systems

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Phase angle adjustment for phase advance control of brushless DC motor

Phase angle adjustment for phase advance control of brushles...

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2014 5th International Conference on Intelligent and Advanced systems, ICIAS 2014

作者： Syafiq Bin Mohd, Mohd Noh Bin Karsiti, Mohd Syaifuddin Bin Mohd, Mohd Automation and Control System Cluster / MOR Energy Department of Electrical Engineering UniversitiTeknologi PETRONAS Malaysia

ISBN: (纸本)9781479946549

Brushless direct current (BLDC) motor is widely used in small and medium side electric vehicles as it exhibit highest specific power and thermal efficiency compared with induction motor. The permanent magnets in the rotor create a constant magnetic flux, which limit the motor top speed. As the back electromotive force (EMF) voltage increases proportionally with motor rotational speed and it approaches the amplitude of the input voltage, the phase current amplitude will reach zero. By advancing the phase current, it is possible to extend the maximum speed of the BLDC motor beyond the rated top speed. This will allow smaller BLDC motor to be used in small electric vehicles and in larger applications will allow the use of BLDC motor without the use of multispeed transmission unit for high speed operation. Adjusting the phase angle will affect the speed of the motor as the each coil is energized earlier than the corresponding rise in back emf of the coil. Preliminary test results indicated that the motor top speed can be increased at least by 40 percent over the baseline speed at no load condition. © 2014 IEEE.

关键词： Speed

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The 5th International Conference on Biomedical engineering and Biotechnology (ICBEB 2016) Abstracts

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BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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Development of multi-fingered dexterous hand for grasping manipulation

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Science China(Information Sciences) 2014年第12期57卷 76-85页

作者： LIN GuoDong LI ZhiJun LIU Lan SU Hang YE WenJun The Key Lab of Autonomous System and Network Control Ministry of EducationCollege of Automation Science and Engineering South China University of Technology School of Material Science and Engineering South China University of Technology Department of Mechanical and Industrial Engineering Concordia University

In this paper,a developed multi-fingered dexterous hand with flexible tactile skin is *** dexterous hand has 5-fingers with 6-DOFs and each finger is equipped with a small harmonic drive gear and a fine high-power mini *** achieve the goal of grasping with high accuracy,each fingertip is covered with the tactile array sensors for determination of the force between the finger and the grasped *** preliminary experiments are conducted to illustrate the performance of the grasping of the developed dexterous hand.

关键词： multi-fingered dexterous hand grasping tactile sensors

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Scheduling of Electric Vehicle Charging Request and Power Allocation at Charging Stations with Renewable Energy 33

Scheduling of Electric Vehicle Charging Request and Power Al...

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第三十三届中国控制会议

作者： LI Jingwei YANG Bo XU Yang CHEN Cailian GUAN Xinping ZHANG Weidong Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Electrical Engineering and Automation Shanghai Jiao Tong University

ISBN: (纸本)9781479947249

Smart grid, a concept proposed in 2003, is now attracting more and more attention because of its ability to integrate intensive information and renewable energy generating infrastructures. This paper focuses on scheduling charging process between multiple electric vehicles and charging stations in smart grid with renewable energy and storage devices. From the perspective of the whole system, the goal of minimizing the time average electricity cost with time-varying electricity price can be reached in this paper. With the participation of storage devices, charging-station-private renewable generation and electric vehicles power demands, we mathematically formulate a stochastic optimal problem and address it by employing Lyapunov optimization methods. Through mathematical derivation, stability of storage devices is achieved. Meanwhile, the upper bound for time average electricity cost can be calculated. The feature of our research is the independence on stochastic distribution of demand and renewable generation. Simulation results show the convergence of storage device state of charging（SOC） and illustrate the efficiency and performance of our algorithm.

关键词： Smart grid EV guidance renewable generation energy storage device Lyapunov optimization

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