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2013年中国智能自动化学术会议

作者： Jingchuan Wang Juncheng Wang Weidong Chen Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China State Key Laboratory of Robotics and System(HIT)

An intelligent wheelchair JiaoLong with multi-mode is developed for the handicapped and the *** is designed of two manipulate modes according to the user's disability and the environments for *** on the dynamic localizability matrix,an improved particle filter localization algorithm is proposed in this *** results of experiments show the practicability of the system design and the effectiveness provided by the improved localization method.

关键词： Intelligent Wheelchair control modes Localization Algorithm

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Non-linear characteristics analysis of bending-torsion coupling vibration for double-shaft rotor system

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Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2013年第6 SUPPL.期34卷 46-50页

作者： Ma, Chao Ren, Wei Wang, Shaohong Kong, Dechao Xu, Xiaoli Beijing Information Science and Technology University Beijing 100192 China Beijing Key Laboratory for Measurement and Control on Electromechanical System Beijing Information Science and Technology University Beijing 100192 China

Based on double-shaft rotor system, the study on non-linear characteristics analysis of bending-torsion coupling vibration is introduced. According to the system characteristics, the non-linear dynamics model is set up, in which the factors such as the brace stiffness, the bending-torsion coupling vibration are considered. Additionally, the response to dynamic unbalance parameters in certain scales is obtained and further analysis on relationship among the non-linear characteristics, the system input rational speed and the system national characteristics is described. The results could be used to fault diagnosis and failure prediction and also would be better for further comprehensive understanding of the double-shaft rotor system vibration.

关键词： Torsional stress

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Multi-cell multi-user downlink beam forming design considering transceiver impairment

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Tongxin Xuebao/Journal on Communications 2013年第12期34卷 104-112页

作者： Xia, Can-Feng He, Shi-Wen Huang, Yong-Ming Wang, Hai-Ming Yang, Lv-Xi School of Information Science and Engineering Southeast University Nanjing 210096 China State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiaotong University Shanghai 200240 China

Multi-cell multi-user downlink beamforming schemes considering transceiver impairments were developed, with the objective of minimizing the maximum mean square error (MSE) and the sum of MSE of all users. The optimization problem was transformed into a second-order cone programming (SOCP) standard form, and a hierarchical iterative algorithm was developed to solve the original problem. Compared with the traditional beamforming methods developed for ideal transceivers, numerical results show that our proposed optimization algorithms greatly reduce the impact of impairments and improve the system performance.

关键词： Mean square error

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A new model for daytime visibility index estimation fused average sobel gradient and dark channel ratio

A new model for daytime visibility index estimation fused av...

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International Conference on Computer Science and Network Technology (ICCSNT)

作者： Wenshu Xiang Jianli Xiao Chongjing Wang Yuncai Liu Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China

ISBN: (纸本)9781479905607

In this paper, a new fusion model for daytime visibility index estimation using traffic monitoring cameras is proposed, which does not depend on any preset targets or an accurate geometric calibration. In the proposed method, two features Average Sobel Gradient and Dark Channel Ratio are extracted from the input image to construct a visibility range estimation model, and the visibility index is computed based on it. A sunny detector and the gray-scale histogram duration verifications are adopted to improve the accuracy of the model. For evaluating the performance of the proposed method, some experiments have been performed. Experimental results show that the proposed method achieves higher accuracy than other two compared methods.

关键词： Atmospheric modeling Indexes Estimation Histograms Cameras Accuracy Computational modeling

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Data priority based slot allocation for Wireless Body Area Networks

Data priority based slot allocation for Wireless Body Area N...

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International Conference on Wireless Communications and Signal processing (WCSP)

作者： Ru Kong Cailian Chen Wenbin Yu Bo Yang Xinping Guan Department of Automation Key Laboratory of System Control and Information Processing Shanghai P.R.China

This paper focuses on the slot allocation scheme of MAC protocol to achieve energy-efficiency for the Wireless Body Area Network (WBAN). The WBAN is adopted to realize the wireless communication between the patient and the monitoring station in a healthcare system. The energy of miniature sensor nodes in WBAN is mainly consumed in the wireless interface and MAC protocol. We propose a time division multiple access (TDMA) protocol which takes advantage of the fixed topology of the WBAN. To implement the sensor energy efficiency, a slot allocation scheme is taken into account. Considering the heterogeneity of nodes, we formulate the problem as a Binary Integer Nonlinear Dynamic Programming (BINDP) to setup data priorities to achieve high slot utilization. Two heuristic algorithms are designed to solve the problem. Our results show that the proposed algorithms have the advantages of less energy consumption, higher slot utilization rate, and lower delay of the system.

关键词： Delays Approximation algorithms Resource management Energy consumption Heuristic algorithms Approximation methods Media Access Protocol

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Performance analysis for remote state estimation via measurement combination *

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IFAC Proceedings Volumes 2013年第13期46卷 296-301页

作者： Lidong He 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

We consider the discrete linear state estimation problem over a packet-dropping network. Before transmitting the data, the linear measurement combination is designed at the local sensor side. In order to improve the remote estimation performance, whether transmitting the current data or the combination depends on whether the previous packet is successfully received or not. A linear minimum mean square error estimation algorithm is proposed for the novel scheme. Moreover, the recursive expression between estimate and smooth error covariance of the last step, as well as the current estimation error covariance is explicitly established via properly constructing a state observer. The equivalency of the two methods is shown via some basic transformations in algebraic Riccati equation theory. The optimal weight for minimizing the estimation error covariance is derived for scalar systems.

关键词： Remote state estimation packet-dropping network performance optimization

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A Congestion Eliminating control Method for Large-scale Urban Traffic Networks *

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IFAC Proceedings Volumes 2013年第13期46卷 496-501页

作者： Zhao Zhou Shu Lin Dewei Li Yugeng Xi Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China

This paper investigates an efficiency of signal control methodology, which mainly focuses on dealing with the traffic congestion problem in those key congested links and is applicable to be implemented in a hierarchical control structure in large-scale heterogeneous urban traffic networks. In this methodology, an algorithm for finding the most congested path is presented firstly, and the urban traffic flow is modeled by using a simplified macroscopic modeling framework. Then the problem of network-wide signal control is formulated as a linear programming problem that aims at minimizing the number of vehicles(or densities) in congested links so as to improve the mobility of the network and mitigate the traffic congestion. For the application of this method in real time, the multi-variables optimization problem including constraints is embedded in a model-based dynamic control procedure. Finally, different traffic demand scenarios are designed and four evaluation criteria are applied to measure the performance of the proposed method in a hypothetical road network. Compared with the fixed-time control strategy, the simulation results show that it is an effective and feasible way to regulate the traffic flow and mitigate the congestion in large-scale urban networks.

关键词： Urban traffic networks large-scale systems congested path model-based control hierarchical structure

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A spatio-temporal multivariate adaptive regression splines approach for short-term freeway traffic volume prediction

A spatio-temporal multivariate adaptive regression splines a...

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International Conference on Intelligent Transportation

作者： Yanyan Xu Qing-Jie Kong Yuncai Liu Department of Automation Key Laboratory of System Control and Information Processing Shanghai China State Key Laboratory for Management Institute of Automation Beijing China

ISBN: (纸本)9781479929153

Current freeway traffic flow prediction techniques pay attention to time series prediction or introduce the upstream adjacent road segments in the short-term prediction model. In this paper, all of the road segments on the freeway are considered as candidates of the independent variables fed into the prediction model. A spatio-temporal multivariate adaptive regression splines (MARS) approach is proposed for the road network analysis and to predict the short-term traffic volume at the observation stations on the freeway. The actual traffic data are collected from a series of observation stations along a freeway in Portland every 15 minutes. In the first phase, the macroscopic dependency relationships of the stations on the freeway are investigated via MARS method. Subsequently the stations most related to the object station are selected and fed into the MARS prediction model to generate the short-term volume. The experiments are carried out on the actual traffic data and the results indicate that the proposed spatio-temporal MARS model can generate superior prediction accuracy in contrast with the historical data based MARS model, the parametric ARIMA, and the nonparametric PPR methods.

关键词： Predictive models Mars Traffic control Data models Roads Solid modeling

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Notes on Sampled-data design for robust control of a single qubit

Notes on Sampled-data design for robust control of a single ...

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3rd IFAC Conference on Intelligent control and Automation Science, ICONS 2013

作者： Wang, Yuanlong Chen, Chunlin Dong, Daoyi State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China Department of Control and System Engineering Nanjing University Nanjing 210093 China School of Engineering and Information Technology University of New South Wales Australian Defence Force Academy Canberra ACT 2600 Australia

ISBN: (纸本)9783902823458

This paper presents several notes on the robust control method proposed in [Dong et al (2013), Sampled-data design for robust control of a single qubit. IEEE Transactions on Automatic control, in press] and improves the original sampling periods so that this control method can be better and more furthermore easily realized. For the case of amplitude damping decoherence, a larger sampling period is presented when the upper bound of the probability of failure is small enough. For the case of phase damping decoherence, a larger sampling period is given when the lower bound of the target coherence is large enough. Furthermore, we provide improved sampling periods for both of the above two cases under the same assumption as that in [Dong et al (2013), Sampled-data design for robust control of a single qubit. IEEE Transactions on Automatic control, in press]. Copyright © 2013 IFAC.

关键词： Robust control

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Identifying peer influence in online social networks using transfer entropy

Identifying peer influence in online social networks using t...

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Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2013

作者： He, Saike Zheng, Xiaolong Zeng, Daniel Cui, Kainan Zhang, Zhu Luo, Chuan State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Management Information System University of Arizona Tucson AZ 85719 United States School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an China

ISBN: (纸本)9783642396922

The past few years have witnessed the rapid growth of online social networks, which have become important hubs of social activity and conduits of information. Identifying social influence in these newly emerging platforms can provide us with significant insights to better understand the interaction behaviors among online users. However, it is difficult for us to measure the influence quantitatively among user peers, since many key factors such as homophily and heterogeneity, can not be observed in our real world conveniently. More recent work mainly focuses on developing theoretical models based on explicit causal knowledge. Nevertheless, such knowledge is usually not available and often needs to be discovered. In this paper, we introduce a model free approach to formulate causal inferences of behaviors among user peers. Experimental results show that influence measured by our approach could successfully reconstruct the underlying networks structure. Furthermore, two additional case studies based on this approach reveal that influentials wield power through specific venues, which constitute a comparatively small portion of the whole channels. © 2013 Springer-Verlag.

关键词： Social networking (online)

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