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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

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.

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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Consensus of multi-agent systems with time-varying delay

Consensus of multi-agent systems with time-varying delay

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IEEE Conference on Decision and control

作者： Huiyang Liu Guangming Xie Long Wang Center of Systems and Control State Key Laboratory of Turbulence and Complex Systems College of Engineering Peking University Beijing China

ISBN: (纸本)9781424477456

This paper provides consensus analysis for networked continuous-time multi-agent systems via sampled control. The sampled control protocol is induced from a continuous-time consensus protocol by using periodic sampling technology and zero-order hold circuit. Meanwhile, time-varying delay that can be both smaller and larger than the sampling interval is taken into account. Based on graph theory and stability theory, a sufficient condition is proposed to guarantee the consensus achievement under the condition that communication channels suffer from time-varying delay. The main contribution of this paper is to provide a valid distributed consensus algorithm that explicitly describes which state information may be received in the concerning sampling interval. The results are illustrated by some simulations.

关键词： Delay Nickel Multiagent systems Protocols control systems Switched systems Stability analysis

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Robust Exponential Admissibility of Uncertain Switched Singular Time-delay systems

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自动化学报 2010年第12期36卷 1773-1779页

作者： LIN Jin-Xing FEI Shu-Min Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast UniversityNanjing 210096P.R.China College of Automation Nanjing University of Posts and TelecommunicationsNanjing 210003P.R.China

This paper investigates the problem of robust exponential admissibility for a class of continuous-time uncertain switched singular systems with interval time-varying delay. By defining a properly constructed decay-rate-dependent Lyapunov function and the average dwell time approach, a delay-range-dependent sufficient condition is derived for the nominal system to be regular, impulse free, and exponentially stable. This condition is also extended to uncertain case. The obtained results provide a solution to one of the basic problems in continuous-time switched singular time-delay systems, that is, to identify a switching signal for which the switched singular time-delay system is regular, impulse free, and exponentially stable. Numerical examples are given to demonstrate the effectiveness of the obtained results.

关键词：自动化系统自动信息函数开关

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Effects of heterogeneous wealth distribution on public cooperation with collective risk

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Physical Review E 2010年第1期82卷 016102-016102页

作者： Jing Wang Feng Fu Long Wang Center for Systems and Control State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Beijing 100871 China Program for Evolutionary Dynamics Harvard University One Brattle Square Cambridge Massachusetts 02138 USA

The distribution of wealth among individuals in real society can be well described by the Pareto principle or “80-20 rule.” How does such heterogeneity in initial wealth distribution affect the emergence of public cooperation, when individuals, the rich and the poor, engage in a collective-risk enterprise, not to gain a profit but to avoid a potential loss? Here we address this issue by studying a simple but effective model based on threshold public goods games. We analyze the evolutionary dynamics for two distinct scenarios, respectively: one with fair sharers versus defectors and the other with altruists versus defectors. For both scenarios, particularly, we in detail study the dynamics of the population with dichotomic initial wealth—the rich versus the poor. Moreover, we demonstrate the possible steady compositions of the population and provide the conditions for stability of these steady states. We prove that in a population with heterogeneous wealth distribution, richer individuals are more likely to cooperate than poorer ones. Participants with lower initial wealth may choose to cooperate only if all players richer than them are cooperators. The emergence of pubic cooperation largely relies on rich individuals. Furthermore, whenever the wealth gap between the rich and the poor is sufficiently large, cooperation of a few rich individuals can substantially elevate the overall level of social cooperation, which is in line with the well-known Pareto principle. Our work may offer an insight into the emergence of cooperative behavior in real social situations where heterogeneous distribution of wealth among individual is omnipresent.

关键词： Pareto principle

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Evolutionary dynamics of public goods games with diverse contributions in finite populations

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Physical Review E 2010年第5期81卷 056103-056103页

作者： Jing Wang Bin Wu Xiaojie Chen Long Wang Center for Systems and Control State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Beijing 100871 China Max-Planck-Institute for Evolutionary Biology August-Thienemann-Str. 2 24306 Plön Germany

The public goods game is a powerful metaphor for exploring the maintenance of social cooperative behavior in a group of interactional selfish players. Here we study the emergence of cooperation in the public goods games with diverse contributions in finite populations. The theory of stochastic process is innovatively adopted to investigate the evolutionary dynamics of the public goods games involving a diversity of contributions. In the limit of rare mutations, the general stationary distribution of this stochastic process can be analytically approximated by means of diffusion theory. Moreover, we demonstrate that increasing the diversity of contributions greatly reduces the probability of finding the population in a homogeneous state full of defectors. This increase also raises the expectation of the total contribution in the entire population and thus promotes social cooperation. Furthermore, by investigating the evolutionary dynamics of optional public goods games with diverse contributions, we find that nonparticipation can assist players who contribute more in resisting invasion and taking over individuals who contribute less. In addition, numerical simulations are performed to confirm our analytical results. Our results may provide insight into the effect of diverse contributions on cooperative behaviors in the real world.

关键词： Random processes

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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000卷 1054-1062页

作者： Lin Chai Shumin Fei Haiyan Jin Ruimin Wang Yanhong Li 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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Limited-memory-BFGS-based iterative algorithm for multispectral bioluminescence tomography with Huber regularization

Limited-memory-BFGS-based iterative algorithm for multispect...

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Medical Imaging 2010 - Biomedical Applications in Molecular, Structural, and Functional Imaging

作者： Feng, Jinchao Jia, Kebin Tian, Jie Qin, Chenghu Zhu, Shouping College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100022 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences P. O. Box 2728 Beijing 100190 China Life Science Research Center Xidian University Xi'an 710071 China

ISBN: (纸本)9780819480279

Multispectral bioluminescence tomography is becoming a promising tool because it can resolve the biodistibution of bioluminescent reporters associated with cellular and subcellular function through several millimeters with to centimeters of tissues in vivo. Generally, to recover the bioluminescent sources, the source reconstruction problem is formulated as a nonlinear least-squares-type bounds constrained optimization problem. However, bioluminescence tomography (BLT) is an ill-posed problem. For the sake of stability and uniqueness of BLT, many algorithms have been proposed to regularize the problem, such as L2 norm and L1 norm. Here, we proposed a new regularization method with Huber function to regularize BLT problem to obtain robustness like L1 and rapid convergence of L 2. Furthermore, the computational burden is largely increased with the use of spectral data. Therefore, there is a critical need to develop a fast reconstruction algorithm for solving multispectral bioluminescence tomography. In the paper, a limited memory quasi-Newton algorithm for solving the large-scale optimization problem is proposed to fast localize the bioluminescent source. In the numerical simulation, a heterogeneous phantom was used to evaluate the performance of the proposed algorithm with the Monte Carlo based synthetic data. Additionally, the real mouse experiments were conducted to further evaluate the proposed algorithm. The results demonstrate the potential and merits of the proposed algorithm. © 2010 Copyright SPIE - The International Society for Optical engineering.

关键词： Constrained optimization

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