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Performance analysis for remote state estimation via measurement combination *

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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An improved logistic model for cluster co-agglomeration

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International Journal of Applied Mathematics and Statistics 2013年第20期50卷 14-20页

作者： Zhang, Yingchao Xiong, Xiong Zhang, Qidong Zhou, Jianhua Institute of Information and System Science Nanjing University of Information Science and Technology Nanjing 210044 China Key Laboratory of Meteorological Disaster of Ministry of Education Nanjing University of Information Science and Technology Nanjing 210044 China College of Electrical Engineering Southeast University Nanjing 210044 China School of Information and Control Nanjing University of Information Science and Technology Nanjing 210044 China

Ascribing to the comparability between industrial cluster and biological populations, this work combines industrial cluster with populations ecological system, divides the government's factors influencing the industry cluster into three part: internal force, external force and the gradually changed environmental force. Based on these three parts, this study proposes a nonlinear dynamic model with single species industrial cluster. Then, a coagglomeration Logistic model is proposed by improving the Logistic model. The co-agglomeration Logistic model can display recession of the industrial cluster under certain conditions and get the inflection point value flexibly. Furthermore, the analytical solution of the equation is derived. Finally, the empirical analysis of Suzhou Electronic information Industrial Cluster is provided, the result shows that the co-agglomeration Logistic model can not only coincident with the general evolution of industrial cluster better, but also reflect government assistance in the industrial cluster to provide scientific basis for government decision making of how to assist the development of industrial cluster. © 2013 by CESER Publications.

关键词： Agglomeration

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Analyzing the characteristics of "East Turkistan" activities using text mining and network analysis

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Zidonghua Xuebao/Acta Automatica Sinica 2014年第11期40卷 2456-2468页

作者： Fu, Ju-Lei Liu, Wen-Li Zheng, Xiao-Long Fan, Ying Wang, Shou-Yang College of Information System and Management National University of Defense Technology Changsha410073 China Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China State Key Laboratory of Management and Control Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Cloud Computing Industrial Technology Innovation and Incubation Center Chinese Academy of Sciences Dongguan523808 China School of Systems Science Beijing Normal University Beijing100875 China

Open source intelligence, with rich content and sophisticated collection and analytical techniques, is an alternative data source in many anti-terrorism studies and has manifested significant applicable prospects. In this paper, we take the "East Turkistan" separatist activities as the research objects and collect the data from the world wide web by utilizing web crawlers. We adopt text analysis techniques to extract the information of four fundamental elements of "East Turkistan" separatist activities, including person, organization, time and place, and then construct multi-mode networks according to the relations between concepts. To analyze the characteristics of these networks, we first apply the approach of dimensional decomposition to separate the multimode networks into single vertex sub-networks and bipartite sub-networks, distinguish the importances of different types of nodes by measuring the centrality of each sub-network, and synthesize the centrality index of each sub-network to form an importance composite index (ICI). To further identify the core nodes of the four types of nodes in the network, we adopt the k-shell decomposition method to directly decompose the multi-mode network. We find that the results produced by these approaches presented above can be in accord with the actual ones. ©, 2014, Acta Automatica Sinica. All rights reserved.

关键词： Data mining

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A Heuristic Based on PSO for Irregular Cutting Stock Problem

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IFAC Proceedings Volumes 2013年第13期46卷 473-477页

作者： Yanxin Xu Genke Yang Changchun Pan Department of Automation Shanghai JiaoTong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 CHINA

Cutting Stock Problems (CSP) arise in many production industries where large stock sheets must be cut into smaller pieces. An irregular-shaped nesting approach for two-dimensional cutting stock problem is constructed in this research. We present a heuristic based on Particle Swarm Optimization Algorithm (PSO) for irregular-shaped two-dimensional cutting stock problem, where PSO is utilized to search optimal solution. Furthermore, the proposed approach combines a grid approximation method with Bottom-Left-Fill heuristic placement strategy to allocate irregular items. We evaluate the proposed approach using 15 revised benchmark problems available from the EURO Special Interest Group on Cutting and Packing. The performance illustrates the effectiveness and efficiency of our approach in solving irregular cutting stock problems.

关键词： PSO Cutting Stock Problem Bottom-Left-Fill Grid Approximation

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AN ACTIVE CONTOUR MODEL BASED ON MULTIPLE BOUNDARY MEASURES

AN ACTIVE CONTOUR MODEL BASED ON MULTIPLE BOUNDARY MEASURES

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IEEE International Conference on Image processing

作者： Yu Qiao Lei Zhou Jie Yang Yonghui Gao The Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University

ISBN: (纸本)9781479923427

Weak boundary contrast, inhomogeneous background and overlapped intensity distributions of the object and background are main causes that may lead to failure of boundary detection for many traditional active contour methods. In this paper, we propose a region-based active contour model to address these problems in both local and global ways. A localized active contour framework is developed, in which two local boundary measures are introduced for the evolution of the level set function. These measures are used to select the boundary candidates for boundary preservation such that the evolution of the contour is guided in a reasonable way. The object boundary is determined by a global boundary measure which evaluates the boundary completeness during the entire evolution process. The experiments demonstrate that our method works well against weak boundary contrast, inhomogeneous background and overlapped intensity distributions.

关键词： Region-based active contour model Level set method Local boundary measures Boundary preservation Global boundary measure contour Boundary boundary layer set method boundary contrast Comet Nucleus Tour Edge detection evolution evolution evolution intensity distribution

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Routes generating based on the navigational expert system

Routes generating based on the navigational expert system

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2nd International Conference on Transportation information and Safety: Improving Multimodal Transportation systems - information, Safety, and Integration, ICTIS 2013

作者： Chen, Yaojie Fan, Huan Chen, Li Zhang, Xiaolong School of Computer Science and Technology Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan 430081 China

ISBN: (纸本)9780784413036

As maritime weather and other environmental changes are more and more complex and frequent, ships traveling along established routes may encounter some cases where people are unable to react quickly. The navigational expert system gets real-time information of ships and target ships through AIS and VTS, and stores these data into databases, then uses certain rules to decide if some certain areas of the route are feasible, and allows the ship to bypass the infeasible areas, finally generating the best route. By taking all the various factors into account, we can generate a real-time and actually useful route based on the planned routes. © 2013 American Society of Civil Engineers.

关键词： Ships

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Localization and Navigation of Intelligent Wheelchair in Dynamic Environments

Localization and Navigation of Intelligent Wheelchair in Dyn...

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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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MOTION PATTERN ANALYSIS IN CROWDED SCENES BASED ON HYBRID GENERATIVE-DISCRIMINATIVE FEATURE MAPS

MOTION PATTERN ANALYSIS IN CROWDED SCENES BASED ON HYBRID GE...

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IEEE International Conference on Image processing

作者： Chongjing Wang Xu Zhao Zhe Wu Yuncai Liu Department of Automation and Key Laboratory of China MOE for System Control and Information Processing Shanghai Jiao Tong University

ISBN: (纸本)9781479923427

Crowded scene analysis is becoming increasingly popular in computer vision field. In this paper, we propose a novel approach to analyze motion patterns by clustering the hybrid generative-discriminative feature maps using unsupervised hierarchical clustering algorithm. The hybrid generative-discriminative feature maps are derived by posterior divergence based on the tracklets which are captured by tracking dense points with three effective rules. The feature maps effectively associate low-level features with the semantical motion patterns by exploiting the hidden information in crowded scenes. Motion pattern analyzing is implemented in a completely unsupervised way and the feature maps are clustered automatically through hierarchical clustering algorithm building on the basis of graphic model. The experiment results precisely reveal the distributions of motion patterns in current crowded videos and demonstrate the effectiveness of our approach.

关键词： crowded scene analysis motion pattern tracklet the hybrid generative-discriminative feature maps automatic clustering

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Mixed H2/H∞ model predictive control for systems with energy-bounded disturbance

Mixed H2/H∞ model predictive control for systems with energ...

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Chinese control Conference (CCC)

作者： Jiwei Li Dewei Li Yugeng Xi Jianbo Lu Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University Shanghai CN

This paper designs a mixed H 2 /H ∞ model predictive algorithm for systems with energy-bounded disturbance. The formulation of H 2 /H ∞ performance in previous work is improved by introducing a slack variable. Furthermore, we decouple the formulation of H 2 /H ∞ performance from the formulation of input and state constraints by dilated LMI technique. These two aspects are combined to develop a less conservative control algorithm. Recursive feasibility of the algorithm is able to be proved and stability of the controlled system is ensured. Numerical example shows the effectiveness of the proposed algorithm.

关键词： Predictive control Prediction algorithms Equations Robustness Upper bound Linear matrix inequalities Trajectory

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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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