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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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Delayed-state-feedback Exponential Stabilization of Stochastic Markovian Jump systems with Mode-dependent Time-varying State Delays

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Acta Automatica Sinica 2010年第11期36卷 1601-1610页

作者： Li MA Fei-Peng DA Ling-Yao WU Key Laboratory of Measurement and Control for Complex Systems of Engineering Ministry of Education Research Institute of Automation Southeast University Nanjing 210096 P.R. China College of Electronic and Information Engineering Jiangsu University Zhenjiang 212013 P.R. China

Abstract 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： Stochastic systems time-varying delay exponential stability Markov chain

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Robust Exponential Admissibility of Uncertain Switched Singular Time-delay systems

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Acta Automatica Sinica 2010年第12期36卷 1773-1779页

作者： Jin-Xing LIN Shu-Min FEI Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 P. R. China College of Automation Nanjing University of Posts and Telecommunications Nanjing 210003 P. 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： Switched singular system time-varying delay exponential stability average dwell time

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Supervisory and Energy Management System of large public buildings

Supervisory and Energy Management System of large public bui...

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IEEE International Conference on Mechatronics and Automation

作者： Xudong Ma Ran Cui Yu Sun Changhai Peng Zhishen Wu Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation South-East University Nanjing China International Institute for Urban Systems Engineering South-East University Nanjing China

Buildings are important contributors to energy consumption accounting for around one-third of energy consumed in cities, where large public buildings are the dominant energy consumers and energy consumption might be significantly decreased through Building Energy Management systems (BEMS). A supervisory and management system for energy conservation in large public buildings is presented in this paper, with a PC or a embedded computer system running a BEMS software designed to connected to distributed energy metering system, wireless sensor networks, even conventional building automation (BA) systems. The supervisory and management software consists of information inquiry, energy consumption metering, energy efficiency analysis and decision support subsystems. The system framework is introduced with development and application of the software described in detail.

关键词： Buildings Energy consumption Sensors Monitoring Wireless sensor networks Lighting Software

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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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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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Universality of weak selection

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Physical Review E 2010年第4期82卷 046106-046106页

作者： Bin Wu Philipp M. Altrock Long Wang Arne Traulsen Research Group Evolutionary Theory Max-Planck-Institute for Evolutionary Biology August-Thienemann-Str. 2 24306 Plön Germany Center for Systems and Control State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Beijing 100871 China

Weak selection, which means a phenotype is slightly advantageous over another, is an important limiting case in evolutionary biology. Recently, it has been introduced into evolutionary game theory. In evolutionary game dynamics, the probability to be imitated or to reproduce depends on the performance in a game. The influence of the game on the stochastic dynamics in finite populations is governed by the intensity of selection. In many models of both unstructured and structured populations, a key assumption allowing analytical calculations is weak selection, which means that all individuals perform approximately equally well. In the weak selection limit many different microscopic evolutionary models have the same or similar properties. How universal is weak selection for those microscopic evolutionary processes? We answer this question by investigating the fixation probability and the average fixation time not only up to linear but also up to higher orders in selection intensity. We find universal higher order expansions, which allow a rescaling of the selection intensity. With this, we can identify specific models which violate (linear) weak selection results, such as the one-third rule of coordination games in finite but large populations.

关键词： Game theory

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Evolutionary prisoner's dilemma game on highly clustered community networks

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Chinese Physics B 2009年第7期18卷 2623-2628页

作者：刘永奎李智陈小杰王龙 Center for Complex Systems Department of Automatic Control Engineering Xidian University State Key Laboratory for Turbulence and Complex Systems Center for Systems and Control College of Engineering Peking University

This paper studies the evolutionary prisoner＇s dilemma game on a highly clustered community network in which the clustering coefficient and the community size can be tuned. It finds that the clustering coefficient in such a degree-homogeneous network inhibits the emergence of cooperation for the entire range of the payoff parameter. Moreover, it finds that the community size can also have a marked influence on the evolution of cooperation, with a larger community size leading to not only a lower cooperation level but also a smaller threshold of the payoff parameter above which cooperators become extinct.

关键词： prisoner＇s dilemma cooperation clustering coefficient community structure

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Precedence graph-oriented approach to optimise single-product flow-line configurations of reconfigurable manufacturing system

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INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING 2009年第10期22卷 923-940页

作者： Dou, J. P. Dai, X. Meng, Z. [a]Key Laboratory of Measurement and Control of Complex Systems of Engineering (School of Automation Southeast University) Ministry of Education China

To facilitate the configuration selection of reconfigurable manufacturing systems, it needs to generate K (predefined number) best configurations as candidates for a given demand period. This paper presents a systematic approach for the problem of generating single-product flow-line (SPFL) configurations. The problem is to determine the SPFL configuration's parameters including number of workstations, number of paralleling machines and machine type as well as assigned operations for each workstation. Given an operation precedence graph (PG) and machine options for each operation, the objective is to minimise the capital costs of SPFL configurations subject to space limitation, investment limitation, and capacity constraint as well as precedence constraints among operations. For linear PG with one feasible operation sequence (FOS), a constrained K-shortest paths (CKSP) formulation is developed and a CKSP algorithm is introduced to generate K-best configurations including the optimal and near-optimal ones. For simple PG (a small number of FOSs), the K-best configurations are found by repeatedly solving the CKSP problem associated with every FOS. For general PG (numerous FOSs), a GA based approach is proposed to identify K-best configurations through searching within the optimal configurations associated with all FOSs. Case studies illustrate the effectiveness and efficiency of our approach.

关键词： reconfigurable manufacturing system configuration generation flow-line precedence graph constrained K-shortest paths genetic algorithm

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