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The 24th Chinese control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Zhongkui Li Zhisheng Duan Lihua Xie Xiangdong Liu Key laboratory for Intelligent Control &Decision of Complex Systems School of Automation Beijing I State Key Lab for Turbulence and Complex Systems Department of Mechanics and Aerospace Engineering School of Electrical and ElectronicEngineering Nanyang Technological University 639798 Singapore Key laboratory for Intelligent Control & Decision of Complex Systems School of Automation Beijing

This paper considers the distributed quadratic stabilization problems of uncertain continuous-time linear multiagent systems with undirected communication topologies. It is assumed that the agents have identical nominal dynamics while subject to different norm-bounded parameter uncertainties, leading to weakly heterogeneous multi-agent systems. A distributed controller is proposed, based on the relative states of neighboring agents and a subset of absolute states of the agents. It is shown that the distributed quadratic stabilization problem under such a controller is equivalent to the H∞ control problems of a set of decoupled linear systems having the same dimensions as a single agent. A two-step algorithm is presented to construct the distributed robust controller, which does not involve any conservatism and meanwhile decouples the feedback gain design from the communication topology. Furthermore, the distributed quadratic H∞ control problem of uncertain linear multi-agent systems with external disturbances is discussed, which can be reduced to the scaled H∞ control problems of a set of independent systems whose dimensions are equal to that of a single agent.

关键词： Multi-agent system distributed control robustness H∞ control parameter uncertainty

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An embedded co-AdaBoost and its application in classification of software document relation

An embedded co-AdaBoost and its application in classificatio...

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2012 8th International Conference on Semantics, Knowledge and Grids, SKG 2012

作者： Liu, Jin Li, Juan Xie, Yuan Lei, Jeff Hu, Qiping State Key Lab. of Software Engineering Computer School Wuhan University China State Key Lab. of Intelligent Control and Management of Complex Systems Institute of Automation CAS China Department of Computer Science and Engineering University of Texas Arlington TX United States International School of Software Wuhan University China

ISBN: (纸本)9780769547947

To enhance classification performance by making use of easily available unlabelled data to overcome the scarcity of labelled data, this paper proposes an Embedded Co-Adaboost algorithm that integrates multi-view learning into the Adaboost learning framework and at the same time leverages the advantages of Co-training algorithm for performance enhancement. Experimental results demonstrate the effectiveness of the proposed algorithm in terms of the convergence rate, the accuracy, and the steady performance as compared to the original AdaBoost algorithm, without relying on redundant and sufficient feature sets. As a algorithm application in software engineering, the Embedded Co-AdaBoost has been applied to the classification of software document relations to improve the quality of the architecture design documents and the reusability of design knowledge. © 2012 IEEE.

关键词： Reusability

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Expectation-driven migration promotes cooperation by group interactions

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Physical Review E 2012年第6期85卷 066104-066104页

作者： Te Wu Feng Fu Yanling Zhang 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 Cambridge Massachusetts 02138 USA

“Voting with feet” describes the prominent social phenomenon that people tend to move away from deteriorating neighborhoods and search for and join prosperous groups. To quantify the role this kind of expectation-driven migration plays in the evolution of cooperation, here we study a simple yet effective model of cooperation based on spatial public goods games. The population structure is characterized by a square lattice with some nodes being left empty. Individuals have expectations toward their current habitats. Dissatisfied players, whose expectation is not met after interacting with all directly connected neighbors, tend to abstain from the groups of low quality by moving away and explore the physical niches of avail. How fast interaction happens relatively to selection is regulated by the time-scale ratio of game interaction to natural selection. Under strong selection, simulation results show that cooperation is greatly improved for either low, moderate, or high expectations compared to whenever the expectation-driven migration is absent. Further explorations reveal that neither too high nor too low but rather a combination of moderate expectations and rapid interaction establishes cooperation for a moderate public goods enhancement factor. There exists an optimal interval of expectation level most favoring the evolution of cooperation as the required time-scale ratio is minimized.

关键词： GROUP theory PUBLIC goods MATHEMATICAL models NATURAL selection SIMULATION methods & models SPATIAL analysis (Statistics)

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Rigid or Flexible? A New Navigation Approach for Better Consumer Service Based on Knowledge Enhancement

Rigid or Flexible? A New Navigation Approach for Better Cons...

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IEEE International Conference on Data Mining Workshops (ICDM Workshops)

作者： Hongyun Bao Qiudan Li Daniel Zeng Heng Gao Institute of Automation Chinese Academy of Sciences Beijing Beijing CN State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

With the rapid development of the Internet and E-commerce, online shopping sites are becoming a popular platform for products selling. Shopping sites such as ***, *** provide consumers with a hierarchical navigation for selecting products easily from overwhelming amount of products. However, those man-made navigations are so general and professional that consumers still need to spend much time in filtering out their own undesired products personally. Shopping sites provide abundant textual product descriptions for most products, which describes the details of the product. In this paper, we propose a novel model to build a topic hierarchy from the detailed product descriptions, which can automatically model words into a tree structure by hierarchical Latent Dirichlet Allocation (hLDA), besides, our model can also augment words level allocations with the conceptual relation between words in WordNet automatically. Each node in the hierarchical tree contains some relevant keywords of product descriptions, thus clarifying the meaning of the concept in the node. Therefore, consumers can pick out their interested products by using the discovered descriptive and valuable navigation of products. The experimental results on ***, one of the most popular shopping sites in America, demonstrate the efficiency and effectiveness of our proposed model.

关键词： Resource management Navigation Knowledge based systems Books Buildings Vectors Software

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Simulating Plant Plasticity under Light Environment: A Source-Sink Approach

Simulating Plant Plasticity under Light Environment: A Sourc...

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IEEE International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications

作者： Haoyu Wang Mengzhen Kang Jing Hua LIAMA Institute of Automation Chinese Academy of Sciences China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China

Simulation of plant structure competing for light source has mostly been done by directly modifying plant structure according to light interception. Functional-structural plant models, however, emphasize the influence of light interception on biomass production, and consequently plant structure. In this paper, we integrate a light distribution model with GreenLab model, which used Beer-Law in computing biomass production. By replacing Beer-Law with a light interception model for biomass production, the combined model was able to simulate the effect of light condition on plant structure through source-sink regulation. The positive and negative sides of this approach are discussed.

关键词： Plant Growth Light Environment Source-Sink Photon Mapping

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Neural and Fuzzy Dynamic Programming for Under-actuated systems

Neural and Fuzzy Dynamic Programming for Under-actuated Syst...

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International Joint Conference on Neural Networks

作者： Dongbin Zhao Yuanheng Zhu Haibo He State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Department of Electrical Computer and Biomedical Engineering University of Rhode Island

ISBN: (纸本)9781467314886

This paper aims to integrate the fuzzy control with adaptive dynamic programming (ADP) scheme, to provide an optimized fuzzy control performance, together with faster convergence of ADP for the help of the fuzzy prior knowledge. ADP usually consists of two neural networks, one is the Actor as the controller, the other is the Critic as the performance evaluator. A fuzzy controller applied in many fields can be used instead as the Actor to speed up the learning convergence, because of its simplicity and prior information on fuzzy membership and rules. The parameters of the fuzzy rules are learned by ADP scheme to approach optimal control performance. The feature of fuzzy controller makes the system steady and robust to system states and uncertainties. Simulations on under-actuated systems, a cart-pole plant and a pendubot plant, are implemented. It is verified that the proposed scheme is capable of balancing under-actuated systems and has a wider control zone.

关键词： Adaptive dynamic programming Fuzzy control Neural network Underactutaed system Cart-pole plant Pendubot

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Human Behavior Imitation for a Robot to Play Table Tennis

Human Behavior Imitation for a Robot to Play Table Tennis

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The 24th Chinese control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Qizhi Wang Xianqiang Zhang De Xu School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 PR Chin State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese

The main purpose of this paper is to make table tennis robots complete the hit table tennis ball action by imitating human’s behavior. The main strategy is to record a video of action which people played the table tennis, then analysis the video of the racket trajectory. The racket in the image is extracted by image processing when the each frame is captured in the video. Then three-dimensional coordinates of the center of the racket and racket posture are obtained via PnP positioning approach based on the intrinsic parameters of the camera. The table tennis robot will off-line learn to complete the imitation of basic actions of the racket trajectory and postures. A large number of experimental data is used to establish basic actions of table tennis robot.

关键词： Imitation off-line learning the trajectory of the racket table tennis robot PnP positioning method

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Simulating Plant Plasticity under Light Environment:A Source-Sink Approach

Simulating Plant Plasticity under Light Environment:A Source...

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2012 IEEE 4th International Symposium on Plant Growth Modeling,Simulation,Visualization and Applications(PMA 2012)

作者： Haoyu Wang Mengzhen Kang Jing Hua state LIAMA Institute of AutomationChinese Academy of Sciences Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

Simulation of plant structure competing for light source has mostly been done by directly modifying plant structure according to light ***-structural plant models,however,emphasize the influence of light interception on biomass production,and consequently plant *** this paper,we integrate a light distribution model with GreenLab model,which used Beer-Law in computing biomass *** replacing Beer-Law with a light interception model for biomass production,the combined model was able to simulate the effect of light condition on plant structure through source-sink *** positive and negative sides of this approach are discussed.

关键词：

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The key supporting technology and applications of smart cameras

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2012年第SUPPL. 1期46卷 171-173+176页

作者： Zhang, Qi Chen, Guo-Dong Xu, De State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences Beijing 100190 China Graduate University of the Chinese Academy of Sciences Beijing 100049 China

With the development of image sensors and embedded technology, smart cameras become one of the most important developing directions because of its advantages in small size, low power consumption, low cost and high reliability. In this paper, we present the development and current situation of smart cameras. Then the system structure and key technology of smart cameras are described in detail. In the end, we introduce the applications of smart cameras, and the development trend of smart cameras.

关键词： Cameras

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Extracting opinion explanations from Chinese online reviews

Extracting opinion explanations from Chinese online reviews

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IEEE International Conference on Intelligence and Security Informatics, ISI

作者： Yuequn Li Wenji Mao Daniel Zeng Luwen Huangfu Chunyang Liu State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Management Information Systems University of Arizona Tucson Tucson AZ USA CNCERT/CC Beijing China

Opinion mining has gained increasing attention and shown great practical value in recent years. Existing research on opinion mining mainly focuses on the extraction of lexicon orientation and opinion targets. The explanations of opinions, which are potentially valuable for many applications, are totally ignored. To address this specific research challenge, in this paper, we propose an approach to extract the explanation of reason and/or consequence behind an opinion via learning word pairs and using causal indicators from Chinese online reviews. We also improve our word pair based method by constructing clusters of word paris. Experiments on a Chinese business review corpus show that our method is feasible and effective.

关键词： Feature extraction Accuracy Semantics Data mining Thesauri Cities and towns Probability

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