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New approaches to relaxed stabilization conditions and H-infinity control designs for T-S fuzzy systems

控制理论与应用（英文版） 2012年第1期10卷 82-91页

作者： Juntao PAN Shumin FEI Yudong NI Mingxiang XUE Key Laboratory of Measurement and Control of Complex Systems of Engineering （Ministry of Education） Southeast University Nanjing Jiangsu 210096 China LAMIH UMR CNRS8503 University of Valenciennes et Hainaut-Cambr6sis Le Mont Houy 59313 Valenciennes Cedex 9 France School of Science Hefei University of Technology Hefei Anhui 230009 China

This paper focuses on the problem of fuzzy control for a class of continuous-time T-S fuzzy systems. New methods of stabilization design and H-infinity control are derived based on a relaxed approach in which both fuzzy Lyapunov functions and staircase membership functions are used. Through the staircase membership functions approx- imating the continuous membership functions of the given fuzzy model, the membership functions can be brought into the design conditions of fuzzy systems, thereby significantly reducing the conservativeness in the recent fuzzy controller design methods. Unlike some previous fuzzy Lyapunov function approaches reported in the literatures, the proposed design techniques of stabilization and H-infinity control do not depend on the time-derivative of the membership functions that may be pointed out as the main source of conservatism when considering fuzzy Lyapunov functions analysis. Moreover, conditions for the solvability of the controller design given here are written in the form of linear matrix inequalities, but not bilinear matrix inequalities, which are easier to be solved by convex optimization techniques. Simulation examples are given to demonstrate the validity and applicability of the proposed approaches.

关键词： T-S fuzzy systems Fuzzy Lyapunov functions Staircase membership functions Linear matrix inequalities

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Polarization trend in sponsored search auctions

Polarization trend in sponsored search auctions

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22nd Workshop on Information Technologies and systems, WITS 2012

作者： Yuan, Yong Zeng, Daniel Zhao, Huimin Cheng, Jiesi 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 AZ United States Sheldon B. Lubar School of Business University of Wisconsin-Milwaukee Milwaukee WI United States

Quality score (QS) plays a critical role in sponsored search auctions and in practice is closely related to the historical click-through rate (CTR) of an advertisement. Existing research, however, has not explicitly considered this correlation between QS and historical CTR. In this paper, we strive to bridge this gap. Based on a discrete time-dependent optimal control model, which explicitly captures the CTR-QS correlation, we analyze the optimal positioning strategy and the widely-observed greedy positioning strategy for advertisers. We find that both strategies lead advertisers to monotonically increase or decrease their ranks over time, and thus may result in a polarization trend in sponsored search markets. Our findings can help characterize advertisers' behavior dynamics and also offer valuable insights and suggestions to search engines.

关键词： Polarization

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When multivariate forecasting meets unsupervised feature learning - Towards a novel anomaly detection framework for decision support

When multivariate forecasting meets unsupervised feature lea...

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International Conference on Information systems, ICIS 2012

作者： Wang, Jiawei Ren, Jimmy Sj Wang, Wei Li, Xin Li, Qiudan Liao, Stephen S.Y. Department of Information Systems USTC-CityU Joint Advanced Research Centre 166 Ren'ai Road Suzhou China Department of Information Systems City University of Hong Kong 83 Tat Chee Avenue Hong Kong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781627486040

Many organizations adopt information technologies to make intelligent decisions during operations. Time-series data plays a crucial role in supporting such decision making processes. Though current studies on time-series based decision making provide reasonably well results, the anomaly detection essence underling most of the scenarios and the plenitude of unlabeled data are largely overlooked and left unexplored. We argue that by using multivariate forecasting and unsupervised feature learning, these two important research gaps could be filled. We carried out two experiments in this study to testify our approach and the results showed that decision support performance was significantly improved. We also proposed a novel framework to integrate the two methods so that our approach may be generalized to a larger problem domain. We discussed the advantages, the limitations and the future work of our study. Both practical and theoretical contributions were also discussed in the paper. © 2012 by the AIS/ICIS Administrative Office All rights reserved.

关键词： Decision support systems

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A hierarchical networked urban traffic signal control system based on multi-agent

A hierarchical networked urban traffic signal control system...

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IEEE International Conference on Networking, Sensing and control

作者： Cheng Chen Zheng Jiang Li State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

In this paper, we proposed an architecture of a hierarchical networked urban traffic signal control system Based on Multi-agent. With mobile agent technology, traffic control strategies are designed as traffic control agents, which can move from device to device in a network. The system can reconfigure and replace these agents according to inconstant states of traffic environment and performances of agents. By this way, demand-based control is realized in traffic signal control system. Then we described the details and key technologies in the procession of agent-generation, agent-storage and agent-usage. At last, a prototype of the system is developed and basic functions of this system are tested by simulations. These simulations also confirm extensibility and effectiveness of the system.

关键词： control systems Databases Organizations Vehicles Roads Mobile communication Aerospace electronics

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Sparse Representation based on Matrix Rank Minimization and K-Means Clustering for Recognition

Sparse Representation based on Matrix Rank Minimization and ...

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International Joint Conference on Neural Networks

作者： Long Ma Chunheng Wang Baihua Xiao State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China 100190

ISBN: (纸本)9781467314886

In this paper, we propose a sparse coding algorithm based on matrix rank minimization and k-means clustering and for recognition. We consider the problem of removing the noise in the training samples and generating more samples at the same time. To accomplish this, we extended the matrix rank minimization problem to cope with complex data. Samples from the same class are segmented into several groups by k-means clustering algorithm, and matrix rank minimization is applied on the clustered data to separate the noises and recover the low-rank structures in the grouped data. An over-complete dictionary is constructed by connecting the low-rank structures and the training samples together to keep the samples diversity. Sparse representation is operated based on this over-complete dictionary for recognition. Furthermore, a parameter is introduced to adjust the weighting of the coefficients that code the noises. We apply the proposed algorithm for character and face recognition. Experiments with improved performances validate the effectiveness of the proposed algorithm.

关键词： sparse representation Noise Recognition (Psychology) Rank of data matrices Sparse coding Dictionaries as Topic

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Adaptive Graph Cut Based Binarization of Video Text Images

Adaptive Graph Cut Based Binarization of Video Text Images

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IAPR International Workshop on Document Analysis systems, DAS

作者： Cunzhao Shi Baihua Xiao Chunheng Wang Yang Zhang State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Interactive image segmentation which needs the user to give certain hard constraints has shown promising performance for object segmentation. In this paper, we consider characters in text image as a special kind of object, and propose an adaptive graph cut based text binarization method to segment text from background. The main contributions of the paper lie in: 1) in order to make the binarization local adaptive with uneven background, the text region image is firstly roughly split into several sub-images on which graph cut is applied, and 2) considering the unique characteristics of the text, we propose to automatically classify some pixels as text or background with high confidence, severed as hard constraints seeds for graph cut to extract text from background by spreading the seeds into the whole sub-image. The experimental results show that our approach could get better performance in both character extraction accuracy and recognition accuracy.

关键词： Image segmentation Image color analysis Image edge detection Character recognition Optical character recognition software Noise

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Graph-Based Background Suppression for Scene Text Detection

Graph-Based Background Suppression for Scene Text Detection

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IAPR International Workshop on Document Analysis systems, DAS

Detecting text in video or natural scene image is quite challenging due to the complex background, various fonts and illumination conditions. The preprocessing period, which suppresses the nontext areas so as to highlight the text areas, is the basis for further text detection. In this paper, a novel graph-based background suppression method for scene text detection is proposed. Considering each pixel as a node in the graph, our approach incorporates pixel-level and context-level features into a graph. Various factors contribute to the unary and pair wise cost function which is optimized via max-flow/min-cut algorithm [16] to get a binary image whose nontext pixels are suppressed so that text pixels are highlighted. Furthermore, the proposed background suppression method could be easily combined with other detection methods to improve the performance. Experimental results on ICDAR 2011 competition dataset show promising performance.

关键词： Image edge detection Cost function Image color analysis Text categorization Feature extraction Computer vision

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Reaching an Average Consensus in Noisy Environments

Reaching an Average Consensus in Noisy Environments

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第八届中国多智能体系统与控制会议(MASC'2012)

作者： WANG Yunpeng CHENG Long HOU Zeng-Guang TAN Min Sate Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

This paper studies a mean square average consensus of general linear discrete-time time-invariant multi-agent systems with communication noises.A distributed protocol,which is composed of the agent’s own state feedback and the relative states between the agent and its neighbors,is proposed.A time-varying consensus gain is applied to attenuate the effect of noises.A polynomial,namely “parameter polynomial”,is constructed in such a way that its coefficients are the paraments in the control gain vector of the proposed *** turns out that the parameter polynomial plays an important role in the consensus analysis of linear multi-agent *** is proved that under the proposed protocol the necessary and sufficient conditions for ensuring the mean square average consensus are: the communication topology graph is balanced and strongly connected;the consensus gain satisfies the approximation-type conditions;and all roots of the parameter polynomial are in the unit circle.

关键词： Multi-agent systems discrete-time average consensus mean square noise linear time-invariant

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Energy Efficient Data Collection in Hierarchical Wireless Sensor Networks

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China Communications 2012年第9期9卷 79-88页

作者： Zhang Chun Fei Shumin Zhou Xingpeng School of Automation Southeast UniversityNanjing 210096P.R.China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast UniversityNanjing 210096P.R.China

The majority of the energy consumption by the sensors is the energy requirement for data transmission in Wireless Sensor Networks （WSNs）. Therefore, introducing mobile collectors to collect data instead of nmlti-hop data relay is essential. However, for rmny proposed data gathering ap-proaches, long data deNNy is the train problenm. Hence, the problem of how to decrease the energy consumption and the data deNNy needs to be solved. In this paper, a low deNNy data collection mechanism using multiple mobile collectors is pro- posed. First, a self-organization clustering algorithm is designed. Second, sensor nodes are organized into three-level clusters. Then a collection strategy based on the hierarchical structure is proposed, which includes two rules to dispatch mobile collec- tors rationally. Simulation results show that the proposed mechanism is superior to other existing approaches in terms of the reduction in energy ex-penditure and the decrease in data deNNy.

关键词： WSNs energy consumption rrmltiplemobile collectors data delay

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A new discrete-time guidance law base on trajectory learning and prediction

A new discrete-time guidance law base on trajectory learning...

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AIAA Guidance, Navigation, and control Conference 2012

作者： Ma, Hong Bin Wang, Ming Zhe Fu, Meng Yin Yang, Chen Guang Beijing Institute of Technology Beijing China University of Plymouth Plymouth United Kingdom Key Laboratory of Intelligent Control Decision of Complex Systems Beijing 100081 China School of Computing and Mathematics Plymouth PL4 8AA United Kingdom

ISBN: (数字)9781600869389

ISBN: (纸本)9781600869389

A new data-driven predictive discrete-time guidance law is presented for an interceptor pursuing a target which can perform arbitrary maneuver. The designed guidance law is driven by observed data of certain steps, which record previous positions of the target and make it feasible to estimate the behavior of the target and hence design the guidance command at each step by solving an time-dependent optimization problem, and this feature distinguishes the proposed guidance law from those traditional guidance laws which are usually described by an ordinary differential equations and use only the measurement at current time instant. To verify the performance of the new guidance law proposed, extensive simulations were carried out to compare it with some typical existing guidance laws like pursuit guidance (PG), beamer rider (BR) guidance, constant bearing (CB) guidance and proportional navigation (PN) law. The simulation studies show that the new predictive guidance law (abbreviated as LP) can provide comparative performance in all the cases studied, and it can even outperform other guidance laws when the target performs random maneuver, which show that the proposed guidance scheme exhibits certain robustness and adaptation. © 2012 by Hongbin Ma, on behalf of Beijing Institute of Technology.

关键词： Ordinary differential equations

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