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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Rui Qin Yong Yuan Fei-Yue Wang Beijing Engineering Research Center of Intelligent Systems and Technology Beijing China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Research Center of Military Computational Experiments and Parallel System National University of Defense Technology Changsha China

ISBN: (纸本)9781509039371

Benefited from the high-speed development of Internet and the popularization of big data technology, Real Time Bidding (RTB) emerged and developed quickly, and has become one of the most important and popular model for online computational advertising. In the pay-per-impression based RTB advertising, frequency capping is undoubtedly one of the most crucial issues faced by advertisers and Demand Side Platforms (DSPs), since there are generally vast amount of ad requests in RTB markets, among which many may be triggered by the same target audience. As such, choosing the optimal frequency cap considering all the advertisers becomes a critical issue faced by DSPs. Considering that displaying one advertisement multiple number of times to the same user will diminish the advertising effect, we introduce the concept of discount factor and establish an optimization model of frequency capping to seek for the optimal frequency cap for each advertiser. We also design some experiments to validate our proposed model by utilizing the computational experiment approach, and the experimental results show that the optimal frequency cap can be influenced by the values of the discount factors, and higher value of the discount factor can deduce the advertising effect of larger frequency cap. Moreover, when the discount factors of the advertisers take different values, there also exists an optimal frequency cap, at which the advertisers can get the expected maximum revenue in the long run.

关键词： Advertising Digital signal processing Computational modeling Big data Time-frequency analysis Radio spectrum management Real-time systems

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Optimizing Market Segmentation Granularity in RTB Advertising: A Computational Experimental Study

Optimizing Market Segmentation Granularity in RTB Advertisin...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

ISBN: (纸本)9781509039371

Real Time Bidding (RTB) is a novel business model of online computational advertising with the integration of Internet economy and big data analysis. It can help advertisers achieve the precision marketing through the market segmentation strategies of Demand Side Platforms (DSPs). Based on a mathematical programming approach, this paper studied DSPs' strategies for market segmentation, and established a selection model of the granularity for segmenting RTB advertising markets. We proposed to validate our model using the computational experiment approach, and the experimental results show that: 1) with the increasing refinement of the market segmentation granularity, the total revenue has a tendency of a rise first followed by a decline, 2) the optimal granularity of market segmentation will be significantly influenced by the number of advertisers on the DSP, but less influenced by the number of ad requests. Our findings show the crucial role of market segmentation on the RTB advertising effect, and indicate that the DSPs should adjust their market segmentation strategies according to their total number of advertisers. Our findings also highlight the importance of advertisers as well as the characteristics of the target audiences in DSPs' market segmentation decisions.

关键词： Digital signal processing Computational modeling Advertising Numerical models Big data complex systems Automation

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Hybrid control and steering logic for the CMG-based spacecraft attitude control system

Hybrid control and steering logic for the CMG-based spacecra...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Xing Xin Zhen Li Xiangdong Liu Zhen Chen Chinese National Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China

ISBN: (纸本)9781479977970

Considering the momentum singularity characteristics, an integrated control strategy for the control moment gyros based attitude control systems is proposed, in which the angular momentum conservation between the spacecraft and the CMG is utilized to improved the system performance both in the closed loop responsiveness and the singularity controllability. The moment exchange capability of the CMGs can be fully developed by the control logic under normal operation, while the exchange space is specifically restrained to guarantee the effectiveness of the singularity avoidance steering when gimbal lock occurs. An online uncertainty identification method based on the momentum exchange property is applied in the hybrid control logic to improve the robustness of the system for the first place, and the remaining uncertainty is further handled by an adaptive control law. Numerical simulations for the practical agile spacecraft maneuvering are conducted to verify the effectiveness of the proposed algorithms.

关键词： Space vehicles Attitude control Uncertainty Torque Kinematics control systems Robustness

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Design, modeling and control of a novel amphibious robot with dual-swing-legs propulsion mechanism

Design, modeling and control of a novel amphibious robot wit...

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IEEE/RSJ International Conference on intelligent Robots and systems

作者： Yang Yi Zhou Geng Zhang Jianqing Cheng Siyuan Fu Mengyin School of Automation and State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China

This paper describes a novel amphibious robot, which adopts a dual-swing-legs propulsion mechanism, proposing a new locomotion mode. The robot is called FroBot, since its structure and locomotion are similar to frogs. Our inspiration comes from the frog scooter and breaststroke. Based on its swing leg mechanism, an unusual universal wheel structure is used to generate propulsion on land, while a pair of flexible caudal fins functions like the foot flippers of a frog to generate similar propulsion underwater. On the basis of the prototype design and the dynamic model of the robot, some locomotion control simulations and experiments were conducted for the purpose of adjusting the parameters that affect the propulsion of the robot. Finally, a series of underwater experiments were performed to verify the design feasibility of FroBot and the rationality of the control algorithm.

关键词： Wheels Legged locomotion Propulsion DC motors Force

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Distributed formation stabilization for mobile agents using virtual tensegrity structures 34

Distributed formation stabilization for mobile agents using ...

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34th Chinese control Conference, CCC 2015

作者： Qingkai, Yang Ming, Cao Hao, Fang Jie, Chen Jie, Huang School of Automation Beijing Institute of Technology Beijing China Faculty of Mathematics and Natural Sciences ITM University of Groningen Groningen Netherlands Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing China

ISBN: (纸本)9789881563897

This paper investigates the distributed formation control problem for a group of mobile Euler-Lagrange agents to achieve global stabilization by using virtual tensegrity structures. Firstly, a systematic approach to design tensegrity frameworks is elaborately explained to confine the interaction relationships between agents, which allows us to obtain globally rigid frameworks. Then, based on virtual tensegrity frameworks, distributed control strategies are developed such that the mobile agents converge to the desired formation globally. The theoretical analysis is further validated through simulations. © 2015 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Euler-Lagrange dynamics Formation stabilization Global convergence Tensegrity structure

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Cloud control systems

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自动化学报 2015年第2期2卷 134-142页

作者： Xia Yuanqing the School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081

The concept of cloud control systems is discussed in this paper, which is an extension of networked control systems (NCSs). With the development of internet of things (IOT), the technology of NCSs has played a key role in IOT. At the same time, cloud computing is developed rapidly, which provides a perfect platform for big data processing, controller design and performance assessment. The research on cloud control systems will give new contribution to the control theory and applications in the near future.

关键词： Cloud control systems (NCSs) networked control systems cloud computing cyber-physical systems (CPSs) big data

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Mechanical design of aerial dispersal miniature reconnaissance robot launch module

Mechanical design of aerial dispersal miniature reconnaissan...

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International Conference on Information and Automation (ICIA)

作者： Haojian Lu Junyao Gao Jingchao Zhao Yi Liu Xin Li Zhe Xu Haoxiang Cao Fangzhou Zhao Xuanyang Shi Luyao Wang Key Laboratory of Intelligent Control and Decision of Complex System Beijing China Ministry of Education Beijing Institute of Technology Beijing China

Aerial dispersal miniature reconnaissance robots can be used in many areas such as natural disasters, man-power disasters, military reconnaissance and so on. Due to its characteristics of fast response, long detection distance and large coverage area, aerial dispersal miniature reconnaissance robots are suitable for these situations mentioned above. However, aerial dispersal miniature reconnaissance robots demand a portable system which is easy to operate. Moreover, another crucial problem from the aerial dispersal miniature reconnaissance robot is that it demands excellent anti-impact property so that it can be thrown from high altitude. To solve the problems above, this paper presents a framework of this aerial dispersal miniature reconnaissance robot launch module. In addition, the mechanical design of each part of this launch module is presented in this paper. Finally, both simulation and experiments showed that this aerial dispersal miniature reconnaissance robot launch module is reliable and practical.

关键词： Reconnaissance Mobile robots Robot sensing systems Wheels Stress Finite element analysis

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Adaptive robust control for electrical cylinder with friction compensation usingmodified LuGre model

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Journal of Beijing Institute of Technology 2014年第3期23卷 358-367页

作者：郝仁剑王军政赵江波汪首坤 Key Laboratory of Intelligent Control and Decision of Complex System School of AutomationBeijing Institute of Technology

The position tracking control problem of an electrical cylinder in the presence of dynamic friction nonlinearities in its transmission process is addressed in this paper. First, a torque decou- piing approach is proposed to formulate the dynamic model. Secondly, to compensate the friction in the case of servo motion, a modified LuGre model is designed to make a continuous transition be- tween a static model at a high speed and a LuGre model at a low speed to avoid instability due to dis- cretization with a finite sampling rate. To accelerate the speed of estimating time-varying parame- ters, a fast adaption law is proposed by designing an attraction domain around a rough value related to the load force. Finally, a discontinuous projection based adaptive robust controller is synthesized to effectively handle parametric uncertainties for ensuring a guaranteed robust performance. A Lya- punov stability analysis demonstrates that all signals including tracking errors have the guaranteed convergent and bounded performance. Extensive comparative simulations with sinusoidal and point- point tracks are obtained respectively in low and high speeds. The results show the effectiveness and the achievable control performance of the proposed control strategy.

关键词： adaptive robust electrical cylinder friction compensation LuGre model

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Solving multi-objective multi-stage weapon target assignment problem via adaptive NSGA-II and adaptive MOEA/D: A comparison study

Solving multi-objective multi-stage weapon target assignment...

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Congress on Evolutionary Computation

作者： Juan Li Jie Chen Bin Xin LiHua Dou School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Beijing P.R. China

ISBN: (纸本)9781479974931

The weapon target assignment (WTA) problem is a fundamental problem arising in defense-related applications of operations research, and the multi-stage weapon target assignment (MWTA) problem is the basis of dynamic weapon target assignment (DWTA) problems which commonly exist in practice. The MWTA problem considered in this paper is formulated into a multi-objective constrained combinatorial optimization problem with two competing objectives. Apart from maximizing damage to hostile targets, this paper follows the principle of minimizing ammunition consumption under the consideration of resource constraints, feasibility constraints and fire transfer constraints. In order to tackle the two challenges, two types of multi-objective optimizers: NSGA-II (domination-based) and MOEA/D (decomposition-based) enhanced with an adaptive mechanism are adopted to achieve efficient problem solving. Then a comparison study between adaptive NSGA-II (ANSGA-II) and adaptive MOEA/D (AMOEA/D) on solving instances of three scales MWTA problems is done, and four performance metrics are used to evaluate each algorithm. Numerical results show that ANSGA-II outperforms AMOEA/D on solving multi-objective MWTA problems discussed in this paper, and the adaptive mechanism definitely enhances performances of both algorithms.

关键词： Weapons Fires Discrete wavelet transforms Optimization Sociology Statistics Genetics

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TDMA based IEEE 802.15.4 for Simple/Secured Low Latency Deterministic Networked control systems

TDMA based IEEE 802.15.4 for Simple/Secured Low Latency Dete...

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第三十四届中国控制会议

作者： Mashood Anwar Yuanqing Xia School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology

ISBN: (纸本)9781467374439

In this paper, we propose a time division multiple access(TDMA) based protocol that works on slightly modified IEEE802.15.4 network in star topology for secured and unsecured low latency deterministic networks(LLDN) for industrial control systems. This protocol ensures total superframe time as low as ten milliseconds as compared to minimum possible superframe time of 15.36 milliseconds. In these networks, Each end device transmits its data frame in their allotted timeslot. The timeslot and inter timeslot spacing is optimized for channel bandwidth utilization and reliable data frame exchange. While this TDMA based protocol eliminates the risk of frame collisions to great extent, MAC sub-layer tweaking improves the non-determinism of the network and increases its bandwidth efficiency. We also investigate the security impact on the performance of LLDN. A mathematical model is developed that takes empirical values as input and predicts the worst case arrival times of network devices at coordinator. Experiments were conducted to evaluate the suggested protocol and mathematical model.

关键词： IEEE 802.15.4,Networked control system,Low latency deterministic networks(LLDN),Medium access control(MAC),TDMA,security

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