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2011 China control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Tao Zhang Shu-min Fei College of Automation Electronic Engineering Qingdao University of Sciences and TechnologyQingdao Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationIn

Robust real-time tracking of non-rigid objects is a challenging task. Color is a powerful feature for tracking deformable objects in image sequences with complex backgrounds. Color distribution is applied, as it is robust to partial occlusion, is rotation and scale invariant and computationally efficient. Particle filter has been proven very successful for non-linear and non-Gaussian estimation tracking problems. The article presents the integration of color distributions into particle filtering. A target is tracked with a particle filter by comparing its histogram with the histograms of the sample positions using the Bhattacharyya distance. Additionally, to solve the sample impoverishment (all particles collapse to a single point within a few iterations) in the particle-filter algorithm, a new resampling algorithm is proposed to tackle sample impoverishment. The performance of the proposed filter is evaluated qualitatively on various real-world video sequences. The experimental results show that the improved color-based particle filter algorithm can reduce sample impoverishment effectively and track the moving object very well.

关键词： Particle filter Object Tracking Robust Tracking

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Stability and L2-L∞ Analysis for A Class of Interconnected systems

Stability and L2-L∞ Analysis for A Class of Interconnected ...

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2011 China control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Shumin Fei Yongmin Li Yuming Chu Zhenjiang Zhao Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Science Huzhou Teachers College Huzhou 313000 Zhejiang China

This paper deals with the problem of stochastically stability and L2-L∞ performance analysis for a class of interconnected Markovian jump ltering error system with constant time delays. By using mode-dependent decentralized lters and constructing mode-dependent centralized Lyapunov functional together with Jensen’s inequality, the stability conditions for the ltering error system are presented which also ensures the L2-L∞ performance. The obtained stability conditions are delay-dependent which may be less conserve than that delay independent one, especially when time-delay are very small. Furthermore, these conditions are expressed in terms of matrix inequalities (LMIs), which may provide the convenience for the design of the concerned lters through linear matrix inequality technique.

关键词： Interconnected Markovian jump systems Decentralized lters Stochastic stability L2-L∞ performance Time delays.

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Design of partitioned table for VLDB in the vehicle monitoring system

Design of partitioned table for VLDB in the vehicle monitori...

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2nd International Conference on Multimedia Technology, ICMT 2011

作者： Yang, Yanlan Ye, Hua Fei, Shumin School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China

ISBN: (纸本)9781612847740

As the number of vehicles in the monitoring system increases, the size of the table for storing their past data becomes very large, which brings performance troubles occurred in the systems with VLDB. To improve the data-access efficiency and keep the database stability, the original table is proposed to be partitioned. According to the functional requirements for database from the vehicle monitoring system, the range partition is suggested, with twelve partitions for one year's historical data and each partition corresponding to a separate month. Then the partitioned table is created after finishing the definitions of the partitioning function and the partitioning schema, where the former gives a rule for partitioning and the latter specifies the storage places of partitions to different file groups. Because the data in the partitioned table is separated into several file groups, the data-access is capable of parallel processing and keeps a higher efficiency. Tests show that the partitioned table works in improving the database performance and the query time is greatly reduced compared to that cost in the original table. © 2011 IEEE.

关键词： Database systems

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Evolutionary dynamics on stochastic evolving networks for multiple-strategy games

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Physical Review E 2011年第4期84卷 046111-046111页

作者： Bin Wu Da Zhou Long Wang Center for Systems and Control State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Beijing 100871 China School of Mathematical Sciences Peking University Beijing 100871 China MOE Key Laboratory of Bioinformatics and Bioinformatics Division TNLIST Department of Automation Tsinghua University Beijing 100084 China

Evolutionary game theory on dynamical networks has received much attention. Most of the work has been focused on 2×2 games such as prisoner's dilemma and snowdrift, with general n×n games seldom addressed. In particular, analytical methods are still lacking. Here we generalize the stochastic linking dynamics proposed by Wu, Zhou, Fu, Luo, Wang, and Traulsen [PLoS ONE 5, e11187 (2010)] to n×n games. We analytically obtain that the fast linking dynamics results in the replicator dynamics with a rescaled payoff matrix. In the rescaled matrix, intuitively, each entry is the product of the original entry and the average duration time of the corresponding link. This result is shown to be robust to a wide class of imitation processes. As applications, we show both analytically and numerically that the biodiversity, modeled as the stability of a zero-sum rock-paper-scissors game, cannot be altered by the fast linking dynamics. In addition, we show that the fast linking dynamics can stabilize tit-for-tat as an evolutionary stable strategy in the repeated prisoner's dilemma game provided the interaction between the identical strategies happens sufficiently often. Our method paves the way for an analytical study of the multiple-strategy coevolutionary dynamics.

关键词： GAME theory STOCHASTIC analysis MATRICES BIODIVERSITY DYNAMICS

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Matching decision model for self- adaptability of knowledge manufacturing system

Matching decision model for self- adaptability of knowledge ...

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International Conference on Information Science and Technology (ICIST)

作者： Yufang Wang Hongsen Yan Xiangang Meng School of Information & Control Engineering Nanjing University of Information Science and Technology Nanjing Jiangsu China Key Laboratory of Measurement and Control of Complex Systems of Engineering of Ministry of Education South-East University Nanjing Jiangsu China

ISBN: (纸本)9781424494408

Knowledge manufacturing system has the ability of modifying dynamically manufacturing mode rapidly when production environment factors change. It is essential to evaluate the matching degree of established manufacturing mode and changed production environment factors. In this paper, a matching decision model for self-adaptability of knowledge manufacturing system based on the fuzzy neural network is proposed. The changed production environment factors are regarded as linguistic variable inputs. A modified momentum factor B-P algorithm consisting of information feed-forward process and the error back-propagation process is used. The proposed FNN model is employed to evaluate the matching degree of a car-lamp production manufacturing mode to variable environment units. Matching result indicates adaptive degree of manufacturing system. Experiment result demonstrates the method is effective.

关键词： Production Manufacturing Fuzzy neural networks Neurons Training Artificial neural networks Fuzzy control

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Stability analysis on discrete-time Cohen-Grossberg neural networks with bounded distributed delay

Stability analysis on discrete-time Cohen-Grossberg neural n...

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Chinese control Conference (CCC)

作者： Tao Li Ting Wang Shumin Fei School of Electronic Engineering and Automation Henan Polytechnic University Jiaozuo 454000 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China

This paper investigates the asymptotical stability for discrete-time Cohen-Grossberg neural networks with both timevarying and distributed delays. By constructing a novel Lyapunov-Krasovskii functional and introducing some free-weighting matrices, one delay-dependent sufficient condition is obtained by using convex combination. The criterion is presented in terms of LMIs and the feasibility can be easily checked with the help of LMI in Matlab Toolbox. In addition, the activation function can be described more generally, which generalizes those earlier methods. Finally, the effectiveness of obtained results can be further illustrated by one numerical example in comparison with the existent ones.

关键词： Delay Stability criteria Asymptotic stability Numerical stability Biological neural networks Symmetric matrices

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Design of partitioned table for VLDB in the vehicle monitoring system

Design of partitioned table for VLDB in the vehicle monitori...

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International Conference on Multimedia Technology

作者： Yanlan Yang Hua Ye Shumin Fei Key Laboratory of Measurement and Control of Complex Systems of Engineering of Ministry of Education South-East University Nanjing China Southeast University Nanjing Jiangsu CN

ISBN: (纸本)9781612847719

关键词： Servers Monitoring Optimization Vehicles Indexes Laboratories

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New type of adaptive control for a class of distributed time-delay systems with adaptation regard to delay parameter

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Journal of systems engineering and Electronics 2010年第6期21卷 1054-1062页

作者： Lin Chai1, 2, Shumin Fei1, 2, Haiyan Jin1, 2, Ruimin Wang1, 2, and Yanhong Li1, 2 1. key laboratory of measurement and control of complex systems of engineering, Southeast University, Nanjing 210096, P. R. China 2. School of Automation, Southeast University, Nanjing 210096, P. R. China Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast UniversityNanjing 210096P.R.China School of Automation Southeast UniversityNanjing 210096P.R.China

The problem on stabilization for the system with distributed delays is researched. The distributed time-delay under consideration is assumed to be a constant time-delay, but not known exactly. A design method is proposed for a memory proportional and integral （PI） feedback controller with adaptation to distributed time-delay. The feedback controller with memory simultaneously contains the current state and the past distributed information of the addressed systems. The design for adaptation law to distributed delay is very concise. The controller can be derived by solving a set of linear matrix inequalities （LMIs）. Two numerical examples are given to illustrate the effectiveness of the design method.

关键词： distributed delay linear matrix inequality （LMI） adaptive control time-delay systems memory PI feedback.

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Improved results on state estimation for neural networks with time-varying delays

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控制理论与应用（英文版） 2010年第2期8卷 215-221页

作者： Tao LI 1 , Shumin FEI 2 , Hong LU 2 (1.School of Instrument Science & engineering, Southeast University, Nanjing Jiangsu 210096, China 2.key laboratory of measurement and control of complex systems of engineering, Ministry of Education, Southeast University, Nanjing Jiangsu 210096, China) School of Instrument Science & Engineering Southeast University Nanjing Jiangsu China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing Jiangsu China

In this paper, some improved results on the state estimation problem for recurrent neural networks with both time-varying and distributed time-varying delays are presented. Through available output measurements, an improved delay-dependent criterion is established to estimate the neuron states such that the dynamics of the estimation error is globally exponentially stable, and the derivative of time-delay being less than 1 is removed, which generalize the existent methods. Finally, two illustrative examples are given to demonstrate the effectiveness of the proposed results.

关键词： Exponential state estimator Recurrent neural networks Exponential stability Time-varying delays Linear matrix inequality (LMI)

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带马尔科夫跳的模态相关时变时滞随机系统的状态反馈控制器设计(英文)

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自动化学报 2010年第11期36卷 1601-1610页

作者：马莉达飞鹏吴凌尧 Key Laboratory of Measurement and Control for Complex Systems of Engineering Ministry of EducationResearch Institute of AutomationSoutheast University College of Electronic and Information Engineering Jiangsu University

In this paper,an improved mean-square exponential stability condition and delayed-state-feedback controller for stochastic Markovian jump systems with mode-dependent time-varying state delays are obtained. First,by constructing a modified Lyapunov-Krasovskii functional,a mean-square exponential stability condition for the above systems is presented in terms of linear matrix inequalities (LMIs). Here,the decay rate can be a finite positive constant in a range and the derivative of time-varying delays is only required to have an upper bound which is not required to be less than 1. Then,based on the proposed stability condition,a delayed-state-feedback controller is designed. Finally,numerical examples are presented to illustrate the effectiveness of the theoretical results.

关键词：马尔科夫跳模态相关时变时滞随机系统状态反馈控制器

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