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World Congress on Intelligent control and Automation (WCICA)

作者： Xilong Liu Zhiqiang Cao Kun Ai Jile Jiao Min Tan State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing P. R. China

This paper proposes a simple but effective bio-inspired approach for skew detection of different kinds of images including nature images, documents, paintings etc., which requires no parameter tuning. Without relying on local visual cues, the proposed approach exploits the global statistics of an image. Orientation perceptron is designed in the inspiration of biological simple cells for local orientation detection. Statistics of their outputs are processed and then transferred by orientation transform into a curve whose maximum value is used to determine the skew angle. The effectiveness of the proposed approach is verified by experiments.

关键词： Gravity Transforms Estimation Visualization Pattern recognition Mathematical model Algorithm design and analysis

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ACP based self-learning control for urban intersection

ACP based self-learning control for urban intersection

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2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Feng Chen Lingyun Zhu Chuyue Han Gang Xiong University of Science and Technology of China State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

The intersection models,such as delay models and queuing length models,are the foundations of optimal signal timing for urban *** of the field data of intersection,it is highly difficult to calibrate parameters of the intersection *** to the effects of intersection topology,channelization and traffic conditions on these models,obviously it is impossible for single model to be suitable for optimal control of various *** is emerging technique for Intelligent Traffic systems(ITS).It provides an effective means for problem-solving of complex traffic issues by constructing artificial system which is consistent with corresponding real *** on ACP approach,we propose a self-learning optimal control strategy for typical *** this approach,optimal control policy is found by systematic interaction with the traffic environment,so as to adapt dynamic traffic conditions and different intersection ***,according to traffic characteristics analysis of intersection,joint control of all approaches can be reduced to optimal control of only one ***,the computational and storage complexities are decreased *** experiment results demonstrate that our approach has considerably lower average delay and higher traffic capacity of intersection than these optimal control methods which are respectively based on HCM2000 and Webster models.

关键词： HCM agent ACP based self-learning control for urban intersection

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Network Formation Games for the Link Selection of Cooperative Localization in Wireless Networks

Network Formation Games for the Link Selection of Cooperativ...

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IEEE International Conference on Communications (ICC)

作者： Zhao, Zijun Zhang, Rongqing Cheng, Xiang Yang, Liuqing Jiao, Bingli Peking Univ Sch Elect Engn & Comp Sci Beijing 100871 Peoples R China Southeast Univ Natl Mobile Commun Res Lab Nanjing Jiangsu Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China

ISBN: (纸本)9781479920037

Recently, localization has become an indispensable technique for wireless applications. In view of the limitation of global position system (GPS) in certain environments, alternative approaches are in demand. In this paper, we consider a cooperative localization approach named sum-product algorithm over a wireless network (SPAWN). Although SPAWN theoretically facilitates cooperative localization, it has several practical limitations. Specifically, SPAWN results in high computational complexity and increased network traffic. The main complexity of SPAWN lies in the selection of agents/anchors involved in the cooperative localization. To this end, we formulate the agent/anchor selection problem into a network formation game. Together with a practical limit on the number of agents/anchors used for cooperative localization, our proposed approach can markedly reduce the computational complexity and the resultant network traffic. Simulations show that these advantages come with a slight degradation in the localization mean squared error (MSE) performance.

关键词： Wireless networks

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Fault estimation of one-sided Lipschitz and quasi-one-sided Lipschitz systems

Fault estimation of one-sided Lipschitz and quasi-one-sided ...

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第三十三届中国控制会议

作者： Linlin Li Ying Yang Yong Zhang Steven X.Ding Institute for Automatic Control and Complex Systems University of Duisburg-Essen State Key Lab for Turbulence and Complex Systems Department of Mechanics and Engineering Science College of EngineeringPeking University

ISBN: (纸本)9781479947249

This paper presents fault estimation scheme for one-sided Lipschitz and quasi-one-sided Lipschitz systems with disturbance. One-sided Lipschitz and quasi-one-sided Lipschitz systems are much more widely used nonlinear systems than the well-known Lipschitz systems. An combination between adaptive observer and sliding mode observer is developed, which avoids the restrictions of these two types of observer. The fault can be estimated here by adaptive observer while the sliding mode is utilized to compensate the effects of the disturbance. An example is given to illustrate the effectiveness of this fault construction approach.

关键词： Fault estimation,One-sided Lipschitz systems,Quasi-one-sided Lipschitz systems,Adaptive observer

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On mobilizing processes of Cyber Movement Organizations 19

On mobilizing processes of Cyber Movement Organizations

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Wang, Tao Liu, Zhong Cui, Kainan Zhang, Jie Wang, Fei-Yue Philip Chen, C.L. College of Information System and Management National University of Defense Technology Changsha410073 China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing100190 China Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha410073 China Department of Computer and Information Science Science and Technology University of Macau China

ISBN: (纸本)9783902823625

Cyber Movement Organization (CMO) is a special kind of social movement organization on the Web. In this paper, we propose a model to simulate the mobilizing process of CMO, which consists of the individual unit, organization unit, and the mobilizing mechanisms. The mobilizing mechanisms has three sub-mechanisms: the participation mechanism, the choice mechanism, and the inviting mechanism. A dataset of more than two million "human flesh search" related microblogs is used to validate the model. Empirical results show that our model can capture the key features of the real-world mobilizing process. © IFAC.

关键词： Automation

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Ranking Online Memes in Emergency Events Based on Transfer Entropy

Ranking Online Memes in Emergency Events Based on Transfer E...

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IEEE Joint Intelligence and Security Informatics Conference (JISIC 2014)

作者： He, Saike Zheng, Xiaolong Bao, Xiuguo Ma, Hongyuan Zeng, Daniel Xu, Bo Tian, Guanhua Hao, Hongwei Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China CNCERT CC Beijing Peoples R China Univ Arizona Dept Management Informat Syst Tucson AZ 85721 USA Chinese Acad Sci Inst Automat Beijing 100190 Peoples R China

ISBN: (纸本)9781479963645

The rapid proliferation of online social networks has greatly boosted the dissemination and evolution of online memes, which can be free text, trending catchphrase, or micro media. However, this information abundance is exceeding the capability of the public to consume it, especially in unusual situations such as emergency management, intelligence acquisition, and crime analysis. Thus, there calls for a reliable approach to rank meme appropriately according to its influence, which will let the public focus on the most important memes without sinking into the information flood. However, studying meme in any detail on a large scale proves to be challenging. Previous bottom-up approaches are often highly complex, while the more recent top-down network analysis approaches lack detailed modeling for meme dynamics. In this paper, we first present a formal definition for meme ranking task, and then introduce a scheme for meme ranking in the context of online social networks (OSN). To the best of our knowledge, this is the first time that memes have been ranked in a model-free manner. Empirical results on two emergency events indicate that our scheme outperforms several benchmark approaches. This scheme is also robust by insensitive to sample rate. In light of the scheme's fine-grain modeling on meme dynamics, we also reveal two key factors affecting meme influence.

关键词： meme ranking transfer entropy peer influence

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Neural-Network-Based Optimal control for a Class of complex-Valued Nonlinear systems with Input Saturation

Neural-Network-Based Optimal Control for a Class of Complex-...

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International Joint Conference on Neural Networks (IJCNN)

作者： Song, Ruizhuo Wei, Qinglai Zhang, Zenglian Song, Biao Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Sci & Technol Beijing Dongling Sch Econ & Management Beijing 100083 Peoples R China

ISBN: (纸本)9781479914845

This paper proposes an optimal control scheme based on adaptive dynamic programming (ADP) algorithm for complex-valued systems with input saturation. The equivalence transformation is used to obtain the real dynamic system. Then the performance index function is defined. Based on the transformed system, an ADP optimal control method is established. The update methods for critic network neural network and action network are given. It is proved that the closed-loop system is uniformly ultimately bounded based on Lyapunov approach. Finally, the simulation study was given to show the effectiveness of the proposed optimal control scheme.

关键词： Closed loop systems

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Characterizing Emotion Entrainment in Social Media

Characterizing Emotion Entrainment in Social Media

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IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

作者： He, Saike Zheng, Xiaolong Bao, Xiuguo Ma, Hongyuan Zeng, Daniel Xu, Bo Li, Changliang Hao, Hongwei Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China CNCERT CC Beijing Peoples R China Univ Arizona Dept Management Informat Syst Tucson AZ 85721 USA Chinese Acad Sci Inst Automat Beijing 100190 Peoples R China

ISBN: (纸本)9781479958771

The sociological theory of entrainment accounts for the synchronization of human rhythmic modalities through social interactions: they coordinate in a variety of dimensions including linguistic styles, facial expressions, music pace, applause, and so on. Though highly relevant, emotion entrainment has received little attention to date. In addition, most previous studies on entrainment are done through small scale or controlled laboratory studies. In this paper, we investigate emotion entrainment in the context of online social media. To the best of our knowledge, this is the first time that emotion entrainment has been examined on a large scale, real world setting. For this purpose, we propose a framework that can model entrainment phenomenon and measure its effect. Our framework differentiates from previous research by its model-free essential and discerning in entrainment directions. These traits enable us to model entrainment dynamics under few assumptions, and distinguish emotion flow of entrainment. In our studies, we investigate entrainment patterns under different emotion states, i.e. positive, neutral and negative. We discover that entrainments under different emotions all follow a power law distribution. Besides, people are willing to entrain to others under positive emotion, and users with positive emotion are more likely to be entrained. By inspecting the interactions between entrainment and emotion, we reveal that entrainment has an effect of negotiating different emotion types toward an even distribution.

关键词： emotion entrainment transfer entropy social media

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Nearly Optimal control Scheme for Discrete-Time Nonlinear systems With Finite Approximation Errors Using Generalized Value Iteration Algorithm

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IFAC Proceedings Volumes 2014年第3期47卷 4134-4139页

作者： Qinglai Wei Derong Liu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China (Tel: +86-10-82544761 Fax: +86-10-82544799

In this paper, a new generalized value iteration algorithm is developed to solve infinite horizon optimal control problems for discrete-time nonlinear systems. The idea is to use iterative adaptive dynamic programming (ADP) to obtain the iterative control law which makes the iterative performance index function reach the optimum. The generalized value iteration algorithm permits an arbitrary positive semi-definite function to initialize it, which overcomes the disadvantage of traditional value iteration algorithms. When the iterative control law and iterative performance index function in each iteration cannot be accurately obtained, a new design method of the convergence criterion for the generalized value iteration algorithm with finite approximation errors is established to make the iterative performance index functions converge to a finite neighborhood of the lowest bound of all performance index functions. Simulation results are given to illustrate the performance of the developed algorithm.

关键词： Adaptive dynamic programming approximate dynamic programming nonlinear system optimal control reinforcement learning

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Optimal Tracking control for a Class of Continuous Time complex-valued systems Based on Adaptive Dynamic Programming Algorithm 33

Optimal Tracking Control for a Class of Continuous Time Comp...

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33rd Chinese control Conference (CCC)

作者： Song, Ruizhuo Lewis, Frank L. Wei, Qinglai Xiao, Wendong Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China Univ Texas Arlington Res Inst Ft Worth TX 76013 USA Northeastern Univ State Key Lab Synthet Proc Automat Shenyang 110819 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

ISBN: (纸本)9789881563842

Based on the adaptive dynamic programming (ADP) algorithm, a new optimal tracking control method is proposed for a class of complex-valued nonlinear systems in this paper. The tracking error is first defined, and then the performance index function which is about the tracking error is given. By transformation, the complex-valued tracking error system is mapped into real-domain. The optimal control method for the tracking error system is presented. The two neural networks are used to be as the critic network and action network, respectively. It is proven that the closed-loop system is uniformly ultimately bounded based on Lyapunov technique. Finally, the simulation study is given to show the effectiveness of the proposed optimal tracking control method for complex-valued nonlinear system.

关键词： Adaptive dynamic programming optimal control neural network complex-valued

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