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A Mobility Based Clustering Algorithm in MANETs Utilizing Learning Automata

A Mobility Based Clustering Algorithm in MANETs Utilizing Le...

引用

第三十二届中国控制会议

作者： GAO Xun School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems

ISBN: (纸本)9781479900305

There being ample research in cluster-based Media Access control(MAC) protocols for Mobile Ad Hoc Networks (MANETs) recently makes it necessary having a stable clustering algorithm developed for *** in MANETs often have highly mobility and sometimes present the characteristic of group *** the innovation perspective,we proposed a clustering algorithm by employing Learning Automata(LA) in a distributed manner considering nodes distance and nodes mobility to produce stable *** utilizing LA nodes can make intelligent and adaptive decisions based on the local information collected in the past *** to another mobility based clustering algorithm,simulation results present us the superior performance of the proposed algorithm.

关键词： Ad Hoc clustering mobility Learning Automata

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The design and optimization method of near space intelligent target generator

The design and optimization method of near space intelligent...

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Chinese control Conference (CCC)

作者： Xiaolong Han Chen Chen School of Automation Beijing Institute of Technology Beijing Beijing CN Key Laboratory of Intelligent Control and complex decision-making Ministry of Education. Systems Beijing School of Automation Beijing Institute of Technology Beijing

This paper presents the design and optimization method of near space intelligent target generator to simulate the physical characteristics of the near space vehicle. Combined with High Level Architecture distributed simulation technology, a common, repeatable and verified platform for the near space vehicle has been provided. This method used 3D modeling software Creator and 3D visual rendering software Vega, two-dimensional map and three-dimensional vision were constructed to form a simulation environment, which enhanced the authenticity of the simulation. Based on particle swarm optimization, the intelligent path planning study of near space vehicle was conducted in this environment to make up for the inadequate intelligence of traditional target generators.

关键词： Solid modeling Generators Space vehicles Load modeling Path planning Radar

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A Model-based Demand-balance control for complex Urban traffic Networks

A Model-based Demand-balance Control for Complex Urban traff...

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17th International IEEE Conference on intelligent Transportation systems & The Asia-Pacific Council on systems Engineering Conference 2014

作者： Shu Lin Qing-Jie Kong School of Computer and Control Engineering University of Chinese Academy of Sciences Qingdao Academy of Intelligent Industries the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

Traffic control is an effective and efficient method for the problem of traffic *** complex urban traffic networks,it is necessary to design a high-level controller to regulate the traffic *** the parallel control framework for complex traffic networks,we design a demand-balance MPC controller based on the MFD-based multi-subnetwork model,which can optimize the network traffic mobility and the network traffic throughput by regulating the input traffic flows of the *** transferring traffic flows among subnetworks are indirectly controlled by the demand-balance MPC controller,and a global optimality can be achieved for the entire traffic *** simulation results show the effectiveness of the proposed controller in improving the network traffic throughput.

关键词： A Model-based Demand-balance control for complex Urban traffic Networks MFD Model

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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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Dual adaptive control of bimanual manipulation with online fuzzy parameter tuning

Dual adaptive control of bimanual manipulation with online f...

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IEEE International Symposium on intelligent control (ISIC)

作者： Alex Smith Chenguang Yang Hongbin Ma Phil Culverhouse Angelo Cangelosi Etienne Burdet Center for Robotics and Neural Systems Plymouth University Devon UK Key Laboratory of Autonomous System and Network Control South China University of Technology Guangzhou P. R. China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing P. R. China Department of Bioengineering Imperial College London UK

A biomimetic controller with online adaptation of impedance and force is applied to a full kinematic and dynamic model of the Baxter bimanual robot. A set of fuzzy logic engines are proposed to infer the values of tuning gains which affect the control performance and control effort of the controller, which would conventionally be set to a static value based on expert knowledge of the controller; the aim of this being to avoid the use of arbitary values to set these values. A simulated experiment is carried out, where the Baxter robot is required to move an object through a trajectory while subjected to two different disturbance forces in four phases. The controller with fuzzy inferred control gains is compared against the same controller with fixed gains to gauge the effectiveness of the new method. Results show that fuzzy inference of control gains impart an improvement in both tracking error and control effort.

关键词： Trajectory Fuzzy logic Force Dynamics Mathematical model Manipulators

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SDRE based Adaptive Optimal Sliding Mode control for Re-entry Vehicle

SDRE based Adaptive Optimal Sliding Mode Control for Re-entr...

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第三十二届中国控制会议

作者： WANG Liang SHENG Yongzhi LIU Xiangdong School of Automation Beijing Institute of Technology Key laboratory for Intelligent Control & Decision of Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781479900305

This paper considers the robust attitude control problem of re-entry vehicle in the presence of the parametric uncertainties and external *** on SDRE method,an optimal sliding surface is first obtained through the minimization of a selected performance index ***,an adaptive sliding mode controller is designed to guarantee the reachability condition of the related optimal sliding *** switching gains are obtained on-line through an adaptation scheme,which eliminates the requirement of a priori knowledge of the upper bound on the lumped *** effectiveness of the proposed strategy is verified by both theoretical analysis and simulation results.

关键词： Re-entry vehicle Attitude control SDRE Adaptive optimal sliding mode control

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Robust control of Spacecraft Eigenaxis Maneuver via Integral Sliding Mode

Robust Control of Spacecraft Eigenaxis Maneuver via Integral...

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第25届中国控制与决策会议

作者： Zhen Chen Binglong Cong Xiangdong Liu School of Automation Beijing Institute of Technology Key Laboratory for Intelligent Control and Decision of Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781467355339

The control problem of spacecraft eigenaxis maneuver in the presence of parametric uncertainty and external disturbance is addressed in this paper. Modified Rodrigues parameters （MRPs） are utilized as the attitude parameters for the non-redundancy. An eigenaxis maneuver control law with feedback and feed-forward terms is presented for the nominal system. The transient response of close loop system can be adjusted according to an approximate second order system. To improve the robustness, integral sliding mode （ISM） technique is adopted to reject undesirable effects and track nominal trajectory. The resulting controller can perform the eigenaxis maneuver in the presence of parametric uncertainty and external disturbance while possess good system performance. The effectiveness of the proposed method is demonstrated by simulation results.

关键词： Rigid Spacecraft Attitude control Eigenaxis Rotation Integral Sliding Mode MRPs

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Lateral control of Autonomous Vehicles Based on Fuzzy Logic

Lateral Control of Autonomous Vehicles Based on Fuzzy Logic

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第25届中国控制与决策会议

作者： Xinyu Wang Mengyin Fu Yi Yang Hongbin Ma School of Automation Beijing Institution of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology

ISBN: (纸本)9781467355322

Autonomous vehicles have attracted considerable attention in the research community and industry due to their potential benefits to unmanned driving and assisted driving. This paper addresses the problem of designing lateral control law and the strategy of determining the giving speed for autonomous vehicles. An improved method of calculating lateral offset and angle error based on multiple look-ahead distances is proposed to reduce the impact of noise in reference path data on the lateral control system. Multiple fuzzy inference engines are used to design the steering controller and determine the given driving speed including forward and backward to deal with both simple and complex reference paths. Satisfactory simulation and experimental results have been obtained for different reference paths including a path with U-turn task in which backward driving is needed.

关键词： Autonomous Vehicle, Lateral control, Multiple Look-ahead Distances, Given Driving Speed, Fuzzy Logic

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