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Interventions of traffic flow for Intersection Based on Interval type-2 fuzzy sets

Interventions of traffic flow for Intersection Based on Inte...

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2014 International Conference on Informative and cybernetics for Computational Social systems(ICCSS2014)

作者： Xuan Li Hong Mo Feng Hua Zhu College Of Electrical And Information Engineering Changsha University Of Science And Technology State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

Assessment and analysis of the intersection status can help to make the right choice of interventions,it’s can bring convenience to solve the traffic *** this paper,interval type-2 fuzzy sets is applied in the analysis of the intersection state and congestion intervention,dynamic fuzzy comprehensive evaluation and footprint of uncertainty are used to assess the intersection *** with the example of intersection congestion,through corresponding intervention measures to improve the intersections crowded *** the linguistic dynamic orbits of road status figured out.

关键词： interval type-2 fuzzy sets footprint of uncertainty intervention measures linguistic dynamic orbits

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A coordination control strategy of voltage source converter based MTDC for offshore wind farms

A coordination control strategy of voltage source converter ...

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2014 IEEE Industry Application Society Annual Meeting, IAS 2014

作者： Ren, Jing-Guo Li, Ke-Jun Sun, Lijun Zhao, Jian-Guo Liang, Yong-Liang Lee, Wei-Jen Ding, Zhao-Hao Sun, Ying Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China State Grid of China Technology College Jinan250002 China Energy Systems Research Center University of Texas at Arlington ArlingtonTX76019 United States Shandong Electric Power Research Institute China

ISBN: (纸本)9781479922888

This paper proposes a coordination control strategy of voltage source converter based multi-terminal DC (VSC-MTDC) transmission system for integrating large-scale offshore wind power. Using a typical five-terminal DC transmission system as an example, coordination control strategy based on local controller among converter stations is proposed. Based on the DC voltage -Active power characteristic, improved control strategy for auxiliary converter station and APC converter station are proposed respectively. Also the working mode of the two converter stations is analyzed. The basis of parameter selection of auxiliary converter station and APC converter station is presented due to DC power flow distribution and maximum and minimum operational mode. Finally, simulations in PSCAD/EMTDC are conducted to validate the multi-point DC voltage control method under various operating state in normal, master converter station fault and auxiliary converter station fault conditions respectively. Results show that this method can guarantee the active power allocation of VSC-MTDC transmission system and good control effects are obtained. © 2014 IEEE.

关键词： Offshore wind farms

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K-means Entropy Algorithm for Multiple Model Estimation

K-means Entropy Algorithm for Multiple Model Estimation

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第三十二届中国控制会议

作者： SHEN-TU Han XUE An Ke YANG Jian Bo State Key Laboratory of Industrial Control Technology Institute of Cyber-System and ControlZhejiang University Institution of Information and Control Hangzhou Dianzi University

ISBN: (纸本)9781479900305

The minimum entropy multiple model estimation algorithm(MEMM),one of variable structure multiple model estimators(VSMM),is an effective approach in handling the problems with high mode ***,the performance of MEMM will deteriorate when the real observation errors are in disaccord with the prior observation error *** this end,we propose the k-means entropy multiple-model estimation algorithm(KMEMM) to refine the model sequence set adaptation ***,the k-means algorithm is employed to make several model sequence ***,the minimum entropy cluster is selected as the best model set and at last the Bayesian estimation is calculated based on *** simulation results demonstrate the efficiency of the proposed algorithm through comparing to several existing algorithms.

关键词： multiple-model estimation K-means entropy particle filter complex observation error

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ACP based self-learning control for urban intersection

ACP based self-learning control for urban intersection

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

作者： Feng Chen Lingyun Zhu Chuyue Han Xiong Gang University of Science and Technology of China Hefei China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing Beijing CN

The intersection models, such as delay models and queuing length models, are the foundations of optimal signal timing for urban intersection. Lack of the field data of intersection, it is highly difficult to calibrate parameters of the intersection models. Due 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 intersections.

关键词： Silicon Optical saturation Queueing analysis Computational modeling Learning (artificial intelligence)

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Prediction and Evaluation of Traffic states at Signalized Intersections

Prediction and Evaluation of Traffic States at Signalized In...

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

作者： Ji-quan Shen Qing-jie Kong State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences School of Computer Science and Technology Henan Polytechnic University Member IEEE

The parallel transportation system based on the method of ACP（Artificial systems,Computing experiments,Parallel control）will promote the level of city traffic intelligent decision and scientific management.A key problem in the system is how to design a computing experiment method to predict and evaluate the traffic state by real-time and *** paper introduces the discrete-time queuing model to analyze the traffic flow at the signalized intersection and gives the evaluation conditions of the traffic ***,the evaluation conditions are applied to judge the traffic state based on the prediction data of traffic flows from the grey *** show the method is effective and feasible.

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Implementation and test of human-operated and human-like adaptive impedance controls on Baxter robot

Implementation and test of human-operated and human-like ada...

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15th Annual Conference on Advances in Autonomous Robotics systems, TAROS 2014

作者： Liang, Peidong Yang, Chenguang Wang, Ning Li, Zhijun Li, Ruifeng Burdet, Etienne Centre for Robotics and Neural Systems School of Computing and Mathematics Plymouth University United Kingdom MOE Key Lab. of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology China State Key Laboratory of Robotics and System Harbin Institute of Technology China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Department of Bioengineering Imperial College of Science Technology and Medicine London United Kingdom

ISBN: (纸本)9783319104003

This paper presents an improved method to teleoperate impedance of a robot based on surface electromyography (EMG) and test it experimentally. Based on a linear mapping between EMG amplitude and stiffness, an incremental stiffness extraction method is developed, which uses instantaneous amplitude identified from EMG in a high frequency band, compensating for non-linear residual error in the linear mapping and preventing muscle fatigue from affecting the control. Experiments on one joint of the Baxter robot are carried out to test the approach in a disturbance attenuation task, and to compare it with automatic human-like impedance adaptation. The experimental results demonstrate that the new human operated impedance method is successful at attenuating disturbance, and results similarly to as automatic disturbance attenuation, thus demonstrating its efficiency. © 2014 Springer International Publishing.

关键词： Stiffness

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Information Disclosure in Real-Time Bidding Advertising Markets

Information Disclosure in Real-Time Bidding Advertising Mark...

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

作者： Juanjuan Li Yong Yuan Rui Qin The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences

Real-time bidding（RTB）advertising is a fast-growing business model in online display advertising *** the guaranteed display advertising,it utilizes programmatic instantaneous auction to price and sell ad inventory on a per-impression *** enbales advertisers to target audiences at demographic,psychographic or behavioral levels across a wide range of *** RTB markets,information about target audiences is usually disclosed to advertisers,while information about publishers（*** ranking,advertising page）are typically not avaliable for advertisers,especially in real-time *** leads to a serious information asymmetry problem in RTB markets,which has significant influence on both advertisers’bidding strategies and publishers’*** this paper,we study the information disclosure strategies of publishers in case when the disclosure may incur an extra *** address this information asymmetry problem by first formulating the RTB auction as an second-price sealed-bid game,then discussing equilibrium information disclosure strategies for publishers and also investigating advertisers’bidding strategies in the three information disclosure cases:all disclosed,non-disclosed,and partially *** find that non-disclosed and partially disclosed strategies may lead to an adverse selection effect,and high-quality publishers will be forced to quit the RTB markets.

关键词： real-time bidding information disclosure asymmetric information adverse selection

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A Survey on Real Time Bidding Advertising

A Survey on Real Time Bidding Advertising

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

作者： Yong Yuan Feiyue Wang Juanjuan Li Rui Qin The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences

Real-time bidding(RTB)is an emerging and promising business model for online computational advertising in the age of big *** on analysis of massive amounts of Cookie data generated by Internet users,RTB advertising has the potential of identifying in real-time the characteristic and interest of the target audience in each ad impression,automatically delivering best-matched ads,and optimizing their prices via auction-based programmatic buying *** has significantly changed online advertising,evolving from the traditional pattern of"media buying"and"ad-slot buying"to"targetaudience buying",and is expected to be the standard business model for online advertising in the *** this paper,we discussed the current market practice of RTB advertising,presented the key roles and typical business processes in RTB markets,and summarized the current research progresses in the existing *** aim of this paper is to provide useful reference and guidance for future works.

关键词： real-time bidding computational advertising online advertising big data

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A Two-stage Fuzzy Budget Allocation Model in Search Auctions

A Two-stage Fuzzy Budget Allocation Model in Search Auctions

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

作者： Rui Qin Yong Yuan Juanjuan Li The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences

Budget optimization is an important issue faced by advertisers in search auctions,and has significant impact on the design of various advertising *** a limited budget on a search market during a certain period,an advertiser has to distribute her budget to a series of sequential temporal slots(i.e.,days,weeks,or months),during which advertisers must avoid the budget being used up quickly,so as to keep the budget for potential clicks with better performance in the *** the optimal budgets over these temporal slots as fuzzy variables,we establish a two-stage fuzzy budget allocation model,and use particle swarm optimization(PSO)algorithm to solve it in case when these optimal budgets are characterized by discrete fuzzy *** also conduct experiments to validate our model and *** experimental results show that our model can outperform other five budget allocation strategies in terms of reducing the revenue loss of the advertiser.

关键词： budget optimization budget allocation sponsored search auctions two-stage fuzzy programming PSO

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PI controller design for Network control system based on minimum entropy control

PI controller design for Network control system based on min...

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

作者： Xinlan-Guo Tao-Li Hongxia Zhao Mechanical and Electrical Engineering Department Nanjing Communications Institute of Technology Enterprise Custom Department Huawei Nanjing Institute The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

This paper designs PI controller which is easy to operate in an actual random framework for NCS,for nonlinear ARMAX model is difficult to achieve in the practical *** on the nature of the network control system is a random system and PI controller design is easy to operate in an actual random framework for NCS,the iterative learning ideas to batch control system output probability density function,so that the output probability density function of the system with increasing batch tracking a given probability density *** order to achieve the NCS system of tracking error probability density function control,this paper introduces the minimum entropy control algorithm.

关键词： minimum entropy control NCS PI controller.

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