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第27届中国控制与决策会议

作者： Mashood Anwar Yuanqing Xia School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology

ISBN: (纸本)9781479970186

In this paper,we propose a time division multiple access(TDMA) based protocol that works on slightly modified IEEE 802.15.4 network in star topology for low latency deterministic networked control *** end device in network transmits its data frame after certain time delay in response to periodic request from network *** time delay is optimized for channel bandwidth utilization and reliable data frame *** this TDMA based protocol eliminates the risk of frame collisions to great extent,MAC sub-layer modifications reduces the non-determinism of the network and increases its bandwidth *** were conducted to evaluate the suggested *** upon these experiments results,the proposed protocol is a feasible solution for control systems with real time constraints.

关键词： IEEE 802154 Networked control system Low latency deterministic networks(LLDN) Medium access control(MAC) Real time systems TDMA

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Optimal Distributed Fusion for State Estimation in Multirate Wireless Sensor Networks

Optimal Distributed Fusion for State Estimation in Multirate...

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第三十四届中国控制会议

作者： Lu Jiang Liping Yan Yuanqing Xia Mengyin Fu Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology

ISBN: (纸本)9781467374439

This paper is concerned with the distributed fusion estimation problem for linear system observed by multirate sensors in the environment of wireless sensor networks(WSNs). Rates of the sampling, estimation, transmission in the WSNs are different. The distributed fusion estimation is composed of two stages. At the first stage, every sensor in the WSNs collects measurements of its own to generate a local estimation, then the local estimations from the neighboring sensors and the neighbour's neighbor sensors are further collected to form the fusion estimation at the second stage. The main result is that a distributed fusion estimation algorithm is presented which is simple and low energy consumption. The performance, namely, the effectiveness and the stability of the algorithm under multiple sensors, is analyzed. A numerical example is given to show the feasibility and effectiveness of the presented algorithm.

关键词： state estimation,distributed fusion,multirate multisensor,Kalman filter,wireless sensor networks

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Renewable-load matching dispatch for isolated power systems with intermittent renewable sources

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International Journal of Simulation and Process Modelling 2016年第3-4期11卷 270-280页

作者： Shen, Ying Zhao, Qianchuan Li, Mingyang Center for Intelligent and Networked Systems Department of Automation TNList Tsinghua University Beijing100084 China School of Control and Computer Engineering State Key Laboratory of Alternate Power Systems with Renewable Energy Sources North China Electric Power University Beijing102206 China

This paper proposes a renewable-load matching approach for dispatching generation resources in power systems with high renewable power penetrations. In order to utilise the capability of renewable resources to follow the load variations, the proposed matching approach is to restrict the output of renewable generators by a load-related bound in each dispatch time period. The dispatch problem is formulated to minimise the system cost comprising fuel, emission, and regulation costs as well as renewable power curtailment penalty. Compared with the traditional approach of treating renewable resources as negative loads, the proposed matching approach can significantly reduce the system cost by including the dynamic control of renewable power output. Moreover, the multi-objective function provides a way to study the trade-off among different costs in power systems with renewable resources. Solution is obtained by transforming the optimisation problem into its equivalent form and using local search algorithms. Simulations are implemented on a specific isolated power system with four generators to demonstrate the advantage of proposed approach. Copyright © 2016 Inderscience Enterprises Ltd.

关键词： Costs

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A memetic algorithm for path planning of curvature-constrained UAVs performing surveillance of multiple ground targets

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Chinese Journal of Aeronautics 2014年第3期27卷 622-633页

作者： Zhang Xing Chen Jie Xin Bin Peng Zhihong School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems

The problem of generating optimal paths for curvature-constrained unmanned aerial vehicles （UAVs） performing surveillance of multiple ground targets is addressed in this paper. UAVs are modeled as Dubins vehicles so that the constraints of UAVs＇ minimal turning radius can be taken into account. In view of the effective surveillance range of the sensors equipped on UAVs, the problem is formulated as a Dubins traveling salesman problem with neighborhood （DTSPN）. Considering its prohibitively high computational complexity, the Dubins paths in the sense of terminal heading relaxation are introduced to simplify the calculation of the Dubins distance, and a boundary-based encoding scheme is proposed to determine the visiting point of every target neighborhood. Then, an evolutionary algorithm is used to derive the optimal Dubins tour. To further enhance the quality of the solutions, a local search strategy based on approximate gradient is employed to improve the visiting points of target neighborhoods. Finally, by a minor modification to the individual encoding, the algorithm is easily extended to deal with other two more sophisticated DTSPN variants （multi-UAV scenario and multiple groups of targets scenario）. The performance of the algorithm is demonstrated through comparative experiments with other two state-of-the-art DTSPN algorithms identified in literature. Numerical simulations exhibit that the algorithm proposed in this paper can find high-quality solutions to the DTSPN with lower computational cost and produce significantly improved performance over the other algorithms.

关键词： Approximate gradient Dubins traveling salesmanproblem with neighborhood Local search Memetic algorithm Unmanned aerial vehicles

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On Convergence of Extended State Observers for Discrete-Time Nonlinear systems

On Convergence of Extended State Observers for Discrete-Time...

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第三十四届中国控制会议

作者： Yuan Huang Junzheng Wang Dawei Shi State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology

ISBN: (纸本)9781467374439

The extended state observer, a crucial part of the active disturbance rejection control, was first proposed in 1995 by Jingqing Han. The discrete-time form of the extended state observer has been extensively used in many practical applications in engineering such as quad-rotor robot control and non-circular machining control;the convergence property of the discrete-time n-dimensional extended state observer, however, remains unexplored and is investigated in this work. The main idea is to construct the error equations of the discrete-time extended state observer for an n-dimensional single-input-single-output nonlinear system with uncertainty, and to prove the convergence of the extended state observer through induction.

关键词： Extended state observer,Discrete time system,Active disturbance rejection control

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A Survey on Big Data for Human Body Shape

A Survey on Big Data for Human Body Shape

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Hongli Peng Xiuqin Shang Chao Guo Gang Xiong Timo R.Nyberg Dong Fan Yiming Wang The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences College of Information Science and Technology Beijing University of Chemical Technology Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences Cloud Computing Center Chinese Academy of Sciences Department of Industrial Engineering and Management School of ScienceAalto University

In recent years, the rapid development of network and E-commerce technologies, promotes the development of human body big data. New technologies, such as 3D scanning and 3D printing will improve our life quality. The new socialized manufacturing network composed of Io T, advanced logistics network and 3D printers. Everyone is allowed to have chance to participate in any process of the whole production manufacturing lifecycle by some ways, such as crowdsourcing. Boosts the creation, production and consumption patterns of individuation, real-time transformation and E-commerce, possibly will lead to a new industrial revolution. In this revolutionary change wave, public concerns focus on the human body big data used for social manufacturing of wearable products or personalized medical treatment. Although many scholars have done a lot of research work, the collection of the human body shape big data still faces many challenges. There is no complete, separated theoretical research works in progress, it should be summarized and improved systematically. In this paper, we review that big data for human body shape is gaining momentum. The 3D scanning and 3D modeling of human body shape are summarized and concluded. The main applications of these big data are analyzed.

关键词： big data human body shape 3D scanning 3D modeling clothing footwear mass customization

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The Application of the Depth Camera in the Social Manufacturing: A review

The Application of the Depth Camera in the Social Manufactur...

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Zhen Liang Ni Zhen Shen Chao Guo Gang Xiong Timo R.Nyberg Xiuqin Shang Shuangshuang Li Yiming Wang The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences College of Information Science and Technology Beijing University of Chemical Technology Cloud Computing Center Chinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences Department of Industrial Engineering and Management School of ScienceAalto University

In recent years, the Information Technology develops rapidly. With the development of the Information Technology, the social manufacturing, a new mode of manufacturing, has been proposed. The social manufacturing combines the Internet technology, the three-dimensional scanning technology and the virtual reality technology, and is used in the apparel industry and other fashion industries for the mass customization. The three-dimensional scanning technology and the virtual fitting mirror technology are inseparable from the depth camera. Depth cameras play an important role in the social manufacturing. Manufacturers use depth cameras to obtain three-dimensional models of the body of customers to design suitable clothes. Customers can visually see the effect of clothes by using a virtual fitting mirror which is based on the depth camera. The social manufacturing makes mass customization possible, and the depth camera help develop the social manufacturing. This paper introduces the principles of depth cameras, and the application of depth cameras in the social manufacturing.

关键词： social manufacturing depth camera PMD Kinect time of flight structured light

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Observer based policy iteration algorithm for fault tolerant control of nonlinear systems with actuator faults

Observer based policy iteration algorithm for fault tolerant...

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World Congress on intelligent control and automation (WCICA)

作者： Bo Zhao Derong Liu Yuanchun Li Guang Shi State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Department of Control Science and Engineering Changchun University of Technology Changchun China

ISBN: (纸本)9781467384155

This paper investigates a novel fault tolerant control scheme to handle actuator faults in nonlinear systems based on policy iteration algorithm with fault observer. The fault observer is established to estimate the actuator fault, which is used to construct an improved performance index function that reflects the fault, regulation and control simultaneously. With the help of the proper performance index function, the FTC problem is transformed into an optimal control problem. By constructing a critic neural network, the Hamilton-Jacobi-Bellman equation can be solved by using policy iteration algorithm, and then the approximated fault tolerant controller can be obtained directly. The closed-loop system is guaranteed to be uniformly ultimately bounded based on the Lyapunov's direct method. Simulation example is given to verify the effectiveness of the developed FTC scheme.

关键词： Actuators Performance analysis Observers Optimal control Nonlinear systems Fault tolerance Fault tolerant systems

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Extended State Observer Based control for Ground-Coupled Heat Pump System

Extended State Observer Based Control for Ground-Coupled Hea...

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第27届中国控制与决策会议

作者： Zhang Yu Wang Junxiao LI Shihua School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781479970186

This paper aims to investigate an extended state observer（ESO） based control approach for the ground-coupled heat pump system（GCHP）.As GCHP system has strong disturbances,a feasible approach of disturbance rejection should be proposed *** is employed to estimate the disturbance and compensate it to the controller to eliminate effects of the *** using ESO-based control and comparing with traditional control method,a better control performance is obtained through simulation verification.

关键词： GCHP ESO disturbance rejection simulation

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Social Manufacturing Development with Sino-Finnish Innovation Cooperation

Social Manufacturing Development with Sino-Finnish Innovatio...

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Jian Liu Gang Xiong Xiuqin Shang Timo R.Nyberg Yiming Wang Tongkai Ji The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences College of Information Science and Technology Beijing University of Chemical Technology Cloud Computing Center Chinese Academy of Sciences Department of Industrial Engineering and Management School of ScienceAalto University Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences

Innovation is changing the world every day by offering new technical solutions for the society, and the technology development powered by innovation has been changing the operation and structure of traditional manufacturing. Social manufacturing is the new trend of manufacturing development, especially in the field of apparel industry. Social manufacturing can create opportunities for customers to participate in the produce process of tailoring, and to make more personalizing clothes, which will also benefit for the related companies' brand making process. With the assistance of internet technology and industry globalization, we can establish several modes about the trend of social manufacturing and new related technology, social manufacturing can also prompt the international division of labor by reducing the producing costs and enlarging the market capacity, we will analyze the advance of Sino-Finland cooperation in the field of innovation and apparel industry, the international cooperation in manufacturing industry will benefit both customers and industry revolution with the assistance of social manufacturing.

关键词： social manufacturing innovation apparel industry international cooperation

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