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International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Zhengjie Wang Xiaoguang Zhao Xu Qian School of Mechanical Electronic & Information Engineering China University of Mining & Technology (Beijing) Beijing China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467358088

We consider the problem of mobile sensor node localization and propose an unscented particle filter algorithm in wireless sensor networks (WSNs) consisting of mobile nodes and static anchor nodes. Because the received signal strength (RSS) varies obviously, we employ particle filter to decrease the bad effect. We first form the system state model, mobile model, and RSS model, and then apply unscented particle filter and utilize the systematic resample to decrease the degeneration of the particle. We eliminate the uncertain of the RSS in wireless channel and get accurate location of mobile nodes. The predicted position of the mobile node is constrained by its velocity and the measurement value of RSS. We do a lot of simulation to validate the algorithm by assigning different parameters. Simulation results show that the algorithm enhances the localization accuracy of mobile node compared with the standard particle filter algorithm.

关键词： Mobile wireless sensor networks Localization Received signal strength (RSS) Unscented particle filter Systematic resampling Wireless sensor networks RSS gene Really Simple Syndication REACTOR SAFETY STUDY Particle filters Particle filtering algorithm Mobile Mobile nodes Resampling Values in measurement wireless channels

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Research on intelligent scientific research collaboration platform and taking journal intelligence system as example

Research on intelligent scientific research collaboration pl...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Lu, Hao Zheng, Xiaolong Sun, Xingkai Zhang, Nan State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China Beijing Engineering Research Center of IntelligentSystems and Technology Institute of Automation Chinese Academy of Sciences Beijing China Chinese Association of Automation Beijing China

ISBN: (纸本)9781467324007

Currently, the research issues are becoming increasingly global and complex. In order to master more and more professional and comprehensive ability to solve problems, it is proposed in this paper that academic intelligence, journal intelligence, conference intelligence, paper intelligence and so on are integrated together to establish intelligent scientific research collaboration platform. And taking the system application of Science and Technology Review as example, the process of scientific research collaboration is carried out to verify the effectiveness of the system. In conclusion, the scientific research collaboration platform could satisfy the comprehensive needs for effectively acquiring a mass of information and launching scientific research collaboration as well as facilitating academic communication. © 2012 IEEE.

关键词： scientific research Intelligence Platform journals

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Modeling and analysis of information dissemination mechanism of social media

Modeling and analysis of information dissemination mechanism...

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

作者： Jiachen Hou Gang Xiong Dong Fan Timo R. Nyberg State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Dongguan China Institute of Automation Chinese Academy of Sciences Beijing Beijing CN Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Dongguan China BIT Research Centre Aalto University Aalto Finland

With the fast development of Internet and data volume increase in Internet, Internet is playing more important role in information spreading in recent years. It is reported that social network is a typical complex network expressed with scale free degree. Emergency cases are happening more and more often in China and all over the world, the governments has realized that it is necessary to monitor and manage the information spreading on social network. In this paper, a new experiment platform frame, which is based on SPA (Spreading Activation) model and social centrality, is proposed to validate the information spreading speed in social network, to help the administration department to manage social network more efficiently.

关键词： Computational modeling Media Data models World Wide Web

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The analysis of a scheduling strategy with energy balance for linear wireless sensor networks

The analysis of a scheduling strategy with energy balance fo...

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31st Chinese control Conference, CCC 2012

作者： Wang, Zhengjie Zhao, Xiaoguang Qian, Xu Shandong University of Science and Technology Qingdao 266590 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Beijing 100083 China

ISBN: (纸本)9789881563811

Considering the linear wireless sensor network application scenarios, such as road, bridge, tunnel and metro where linear network and multi-hop traffic pattern make the energy consumption unbalanced. The nodes near the base station are required to forward the large amount of traffic for other nodes, which exhausts their energy and results in the failure of network monitoring. In order to solve this problem, a linear wireless sensor network and uniform deployment strategy are considered and an optimal scheduling strategy based on the nonlinear programming is presented. The constraint is formed by the energy model and the requirement of balanced energy consumption. The network lifetime can be extended by adjusting the proportion of traffic and the distance to next hop. The factors affecting the energy efficiency are analyzed and simulation is presented. Simulation results show that energy balance can be achieved by adjusting the communication distance and traffic and network lifetime can be extended. © 2012 Chinese Assoc of Automati.

关键词： Energy balance

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Reinforcement Learning control Based on Multi-Goal Representation Using Hierarchical Heuristic Dynamic Programming

Reinforcement Learning Control Based on Multi-Goal Represent...

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International Joint Conference on Neural Networks

作者： Zhen Ni Haibo He Dongbin Zhao Danil V. Prokhorov Department of Electrical Computer and Biomedical Engineering University of Rhode Island State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Toyota Research Institute NA TTC

ISBN: (纸本)9781467314886

We are interested in developing a multi-goal generator to provide detailed goal representations that help to improve the performance of the adaptive critic design (ACD). In this paper we propose a hierarchical structure of goal generator networks to cascade external reinforcement into more informative internal goal representations in the ACD. This is in contrast with previous designs in which the external reward signal is assigned to the critic network directly. The ACD control system performance is evaluated on the ball-and-beam balancing benchmark under noise-free and various noisy conditions. Simulation results in the form of a comparative study demonstrate effectiveness of our approach.

关键词： ACD gene Automatic Shutoff Devices noise-free critic hierarchical structure Noise learning (artificial intelligence) dynamic programming Generator dynamos Heuristics

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Design and Analysis of Multi-Winding Power Current Transformer for Power Transmission Lines Inspection Robot

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Procedia Engineering 2012年 29卷 2187-2193页

作者： Mingbo Yang Zize Liang Hanbo Qian En Li Guodong Yang State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 P. R. China The Center of Coordination&Support of SASTIND Beijing 100081 P. R. China

Special current transformer (CT) is designed to induct power from the power transmission lines for an inspection robot. Equivalent circuit is used for calculating and modelling the parameters of the current transformer. Air gap analysis is given aiming at adapting dynamic range of bar current, and calculation of the effect of air gap is provided in detail. Ratio change of current transformer is introduced by which the secondary current could be adaptive to the bus current. Simulation results show that dynamic control of length of air gap and turns of the coils could make the current transformer be adaptive to the variable bus current and be more convenient for inducing power for the power transmission lines inspection robot.

关键词： current transformer induction charging inspection robot

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Tracking control of a Closed-Chain Five-Bar Robot With Two Degrees of Freedom by Integration of an Approximation-Based Approach and Mechanical Design

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IEEE TRANSACTIONS ON systems MAN AND CYBERNETICS PART B-CYBERNETICS 2012年第5期42卷 1470-1479页

作者： Cheng, Long Hou, Zeng-Guang Tan, Min Zhang, W. J. Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Saskatchewan Dept Mech Engn Saskatoon SK S7N 5A9 Canada

The trajectory tracking problem of a closed-chain five-bar robot is studied in this paper. Based on an error transformation function and the backstepping technique, an approximation-based tracking algorithm is proposed, which can guarantee the control performance of the robotic system in both the stable and transient phases. In particular, the overshoot, settling time, and final tracking error of the robotic system can be all adjusted by properly setting the parameters in the error transformation function. The radial basis function neural network (RBFNN) is used to compensate the complicated nonlinear terms in the closed-loop dynamics of the robotic system. The approximation error of the RBFNN is only required to be bounded, which simplifies the initial "trail-and-error" configuration of the neural network. Illustrative examples are given to verify the theoretical analysis and illustrate the effectiveness of the proposed algorithm. Finally, it is also shown that the proposed approximation-based controller can be simplified by a smart mechanical design of the closed-chain robot, which demonstrates the promise of the integrated design and control philosophy.

关键词： Adaptive backstepping closed-chain robot design neural network tracking transient performance.

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A hierarchical neural network architecture for classification

A hierarchical neural network architecture for classificatio...

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9th International Symposium on Neural Networks, ISNN 2012

作者： Wang, Jing He, Haibo Cao, Yuan Xu, Jin Zhao, Dongbin Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston RI 02881 United States MathWorks Inc. Natick MA 01760 United States Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken NJ 07030 United States State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9783642313455

In this paper, a hierarchical neural network with cascading architecture is proposed and its application to classification is analyzed. This cascading architecture consists of multiple levels of neural network structure, in which the outputs of the hidden neurons in the higher hierarchical level are treated as an equivalent input data to the input neurons at the lower hierarchical level. The final predictive result is obtained through a modified weighted majority vote scheme. In this way, it is hoped that new patterns could be learned from hidden layers at each level and thus the combination result could significantly improve the learning performance of the whole system. In simulation, a comparison experiment is carried out among our approach and two popular ensemble learning approaches, bagging and AdaBoost. Various simulation results based on synthetic data and real data demonstrate this approach can improve the classification performance. © 2012 Springer-Verlag.

关键词： Adaptive boosting

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A design of artificial high-rise building evacuation systems under fires

A design of artificial high-rise building evacuation systems...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Hu, Yu-Ling Liu, Xi-Wei School of Automation Beijing Institute of Technology Beijing 100081 China School of Electric and Information Engineering Beijing University of Civil Engineering and Architecture Beijing 100044 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

ISBN: (纸本)9781467324007

Because the structure and function of a high-rise building is complex and the density of occupants is high, and the rescue from outside is very difficult, safe and timely evacuation is an important issue under high-rise building fires. Worsely, it is impossible to do experiments for economic, moral, or even legal reasons. In this paper, based on an ACP (artificial systems, computational experiments, parallel excution) approach, a design of an artificial evacuation system for computational experiments research on societies evacuation strategies is proposed. Based on the buildingEXODUS platform, the agent technology is used to build the high-rise building architectures and occupant individuals who have autonomous activities. By using CFAST software, numerical calculation technology is used to build several kinds of fire scenarios. By interactions and influences, an artificial evacuation system can be built. © 2012 IEEE.

关键词： Fires

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Parallel Rail Transit System Based on ACP Approach

Parallel Rail Transit System Based on ACP Approach

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10th World Congress on Intelligent control and Automation (WCICA)

作者： Dong, X. -S. Xiong, Gang Fan, Dong Lv, Y. -S. Sun, X. -B. Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing Peoples R China

ISBN: (纸本)9781467313988

This paper presents a novel parallel system for Rail Transit based on ACP approach (Artificial systems, Computational experiments, Parallel execution), which is proposed to address issues on safety, efficiency and reliability of their operation and optimization. Firstly, the construction of dynamic, overall and real Artificial Rail Transit systems and their demonstration are provided. Then, based on these systems, the platform, content and analysis of computational experiments and comprehensive evaluation system are researched. Finally, parallel control and management of the actual systems via parallel execution can be achieved. By Parallel Rail Transit systems, a set of recommendations and strategies of railway can be formed, which would improve the overall functionality of the trail transit system.

关键词： Rail transit ACP approach parallel system operation management computational experiments

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