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Index Modulated OFDM with Interleaved Grouping for V2X Communications

Index Modulated OFDM with Interleaved Grouping for V2X Commu...

17th International IEEE Conference on Intelligent Transportation systems & The Asia-Pacific Council on systems engineering Conference 2014

作者： Xiang Cheng Miaowen Wen Liuqing Yang Yuke Li School of Electronics Engineering and Computer Science Peking University National Mobile Communications Research Laboratory Southeast University School of Electronic and Information Engineering South China University of Technology State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

The rapid penetration of intelligent transportation systems（ITS） into the conventional transportation infrastructure urgently calls for high spectral efficiency high reliability communication technology for vehicle-to-vehicle and vehicle-to-infrastructure（V2X） *** orthogonal frequency division multiplexing（OFDM） is widely considered as a promising candidate for such applications,in this paper we propose a novel variation of OFDM for improved spectral efficiency as well as enhanced reliability in V2 X channels with correlated frequency-selective fading and inevitable Doppler *** proposed scheme is built upon a recently emerging technique termed as index modulated（IM-）***,different from the existing localized subcarrier grouping,we propose interleaved subcarrier *** then carry out analytical and simulated comparisons to demonstrate the merits of this new scheme in terms of both the bit error rate（BER）performance and the maximum achievable rate（MAR） of the overall system,in V2 X channels.

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

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

ISBN: (纸本)9781479960590

Budget optimization is an important issue faced by advertisers in search auctions, and has significant impact on the design of various advertising strategies. Given 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 future. Considering 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 variables. We also conduct experiments to validate our model and algorithm. The 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： Artificial intelligence

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

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

ISBN: (纸本)9781479960590

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 application. Based 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 function. In order to achieve the NCS system of tracking error probability density function control, this paper introduces the minimum entropy control algorithm.

关键词： Entropy Robustness

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

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

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第三十三届中国控制会议

作者： Ruizhuo Song Frank L.Lewis Qinglai Wei Wendong Xiao School of Automation and Electrical Engineering University of Science and Technology Beijing University of Texas at Arlington Research Institute University of Texas at Arlington State Key Laboratory of Synthetical Process Automation Northeastern University The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

ISBN: (纸本)9781479947249

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 *** tracking error is rst de ned,and then the performance index function which is about the tracking error is *** transformation,the complex-valued tracking error system is mapped into *** optimal control method for the tracking error system is *** two neural networks are used to be as the critic network and action network,*** is proven that the closed-loop system is uniformly ultimately bounded based on Lyapunov ***,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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Social manufacture cloud mode in high-end apparel, footwear and hats

Social manufacture cloud mode in high-end apparel, footwear ...

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World Congress on Intelligent control and Automation (WCICA)

作者： Xiuqing Shang Baoli Su Xiwei Liu Gang Xiong Zengbo You The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Chinese Academy of Sciences Cloud Computing Center Dongguan Guangdong Province China Beijing Engineering Research Center of Intelligent Systems and Technology

This paper expounds the high-end apparel footwear and hats manufacture industry society mode of cloud services, achieve consumers actively participate in the high-end apparel, footwear and hats industry of mass customization services. Through social production theory and the combination of cloud computing services, use many kinds of 3D technology, new process technology of cooperative management, e-commerce, logistics and wisdom dynamic value chain analysis and so on the many kinds of technologies, constructed with size and cost of mass production, customization of new clothing, footwear and hats business model, and implements all participate in the design, all involved in manufacture, and everyone involved for “a new type of manufacture and service mode, will effectively drive the transformation and upgrading of industries, and bring new economic growth.

关键词： Business Collaboration Clothing Crowdsourcing Three-dimensional displays Computational modeling

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Tracking control of discrete-time affine nonlinear systems based on kernel-HDP algorithm

Tracking control of discrete-time affine nonlinear systems b...

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World Congress on Intelligent control and Automation (WCICA)

作者： Fuxiao Tan Derong Liu Xinping Guan Fuyang Teachers College Anhui University Hefei Anhui China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China

In the past decade, adaptive dynamic programming (ADP) has been widely used to realize online learning tracking control of dynamical systems, where neural networks with manually designed features are commonly used. In order to improve the generalization capability and learning efficiency of ADP, this paper presents a novel framework of ADP with sparse kernel machines by integrating kernel methods and approximately linear dependence (ALD) analysis into the critic module of ADP for the optimal tracking controller design. An ADP algorithm based on sparse kernel learning and heuristic dynamic programming (HDP) is proposed, that is, kernel HDP (KHDP). Based on KHDP, an experiment is established. By simulation, the effectiveness of proposed algorithm is demonstrated.

关键词： Kernel Vectors Dictionaries Equations Approximation algorithms Mathematical model Heuristic algorithms

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A Stochastic Model for Budget Distribution over Time in Search Advertisements

A Stochastic Model for Budget Distribution over Time in Sear...

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

作者： Rui Qin Yong Yuan Juanjuan Li Yanwu Yang 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 School of Management Huazhong University of Science and Technology

In search advertisements,advertisers have to seek for an effective allocation strategy to distribute the limited budget over a series of sequential temporal slots(e.g.,days).However,advertisers usually have no sufficient knowledge to determine the optimal budget for each temporal slot,because there exist much uncertainty in search advertising *** this paper,we present a stochastic model for budget distribution over a series of sequential temporal slots under a finite time horizon,assuming that the best budget is a random *** study some properties and feasible solutions for our model,taking the best budget being characterized by either normal distribution or uniform distribution,***,we also make some experiments to evaluate our model and identify strategies with the real-world data collected from practical advertising *** results show that a)our strategies outperform the baseline strategy that is commonly used in practice;b)the optimal budget is more likely to be normally distributed than uniformly distributed.

关键词： search advertisement budget distribution optimal budget stochastic programming budget constraint

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Behavior Modeling of Internet Water Army in Online Forums

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IFAC Proceedings Volumes 2014年第3期47卷 9858-9863页

作者： Ke Zeng Xiao Wang Qingpeng Zhang Xinzhan Zhang Fei-Yue Wang The School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an 710049 China The State Key Laboratory of Management and Control of Complex Systems Institute of Automation Chinese Academy of Science Beijing 100190 China Tetherless World Constellation Rensselaer Polytechnic Institute Troy NY 12180 USA Software Engineering Xi'an Jiaotong University Xi'an 710049 China

The behavior patterns and strategies of Internet Water Army in online forums are investigated in this paper. Internet Water Army focuses on the controlling and steering of cyber collective opinions, and adjusts their behavior according to two principles: to avoid being exposed and to increase the ability to exert influence. To study how the ability of Internet Water Army to exert influence, we construct a multi-agent system with coevolution of topics and cyber collective behaviors and design the behavior patterns and strategies of Internet Water Army. Based on synthetic data and real data, we find that Internet Water Army dynamically adjusts their behavior strategy to maximize their influence and the effectiveness of strategy of Internet Water Army is closely related to the features of the users. Our work sheds insight on the design of viral marketing mechanism in e-commerce systems as well as on guiding collective behaviors in social media.

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A Robust Road Segmentation Method Based on Graph Cut with Learnable Neighboring Link Weights

A Robust Road Segmentation Method Based on Graph Cut with Le...

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17th International IEEE Conference on Intelligent Transportation systems & The Asia-Pacific Council on systems engineering Conference 2014

作者： Jun Yuan Shuming Tang Fei Wang Hong Zhang State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences High-Tech Innovation Engineering Center Institute of AutomationChinese Academy of Sciences Institute of Artificial Intelligence and Robotics of Xi'an Jiaotong University School of Information Engineering Minzu University of China

Road region detection is a crucial functionality for road following in advanced driver assistance systems(ADAS).To address the problem of environment interference in road segmentation through a monocular vision approach,a novel graph-cut based method is proposed in this *** novelty of this proposal is that weights of neighboring links(n-links) in a s-t graph are estimated by Multilayer Perceptrons(MLPs) rather than calculating by the neighboring contrast simply in previous graph-cut based *** n-link weights by MLPs reinforces the ability of graph-cut based road segmentation algorithms to tolerate the complex and changeable appearance of road ***,the Gentle Ada Boost algorithm is integrated into the graph-cut framework to estimate the terminal link(t-link) weights in the s-t *** are conducted to show the robustness and efficiency of the proposed method.

关键词： image A Robust Road Segmentation Method Based on Graph Cut with Learnable Neighboring Link Weights Graph

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A Dual-Motor Joint Model for Humanoid Robots

A Dual-Motor Joint Model for Humanoid Robots

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第25届中国控制与决策会议

作者： Jingtao Xue Xiaopeng Chen Ye Tian Zhangguo Yu Fei Meng Qiang Huang IRI School of Mechatronic Engineering Beijing Institute of Technology Key Laboratory of Biomimetic Robots and Systems Ministry of Education Key Laboratory of Intelligent Control and Decision of Complex System

ISBN: (纸本)9781467355339

To make humanoid robots walking fast, it's important to improve driving force of their leg joints. Usually, each joint of humanoid robots is driven by a single motor. Dual-motor joint, on the other hand, is one of the candidate solutions to meet the power requirement needed for fast walking. This paper proposed a new dual-motor control model. In the model, two motors are treated as a single control plant instead of two parallel control plants. With the usage of current distributor, the control model can pump different current to each motor freely so as to eliminate the unbalance of the load imposed on each motor. Simulation and experiment show that the proposed model works well under high joint load and it can be used on a fast walking humanoid robot.

关键词： Humanoid robot, dual motor, control model

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