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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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Sensor fault detection with online sparse least squares support vector machine

Sensor fault detection with online sparse least squares supp...

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32nd Chinese control Conference, CCC 2013

作者： Su, Guo Fang, Deng Jian, Sun Li, Fengmei School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 China

ISBN: (纸本)9789881563835

In this paper, we present the theory of online sparse least squares support vector machine (OS-LSSVM) for prediction and propose a predictor with OS-LSSVM to detect sensor fault. The principle of the predictor and its online algorithm are introduced. Compared with the traditional least squares support vector machine (LSSVM), OS-LSSVM has an advantage on training speed owing to the online training algorithm based on the base vector set. The real-time output data of sensor is employed as the training vector to establish the regression model. This method is compared with the LSSVM predictor in the experiment. Three typical faults of sensors are investigated and the simulation result indicates that the OS-LSSVM predictor can diagnose sensor fault accurately and rapidly, thus it is especially suitable for online sensor fault detection. © 2013 TCCT, CAA.

关键词： Vectors

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Synchronization in complex networks and its application - A survey of recent advances and challenges

Synchronization in complex networks and its application - A ...

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作者： Tang, Yang Qian, Feng Gao, Huijun Kurths, Jürgen Potsdam Institute for Climate Impact Research Potsdam14473 Germany Institute of Physics Humboldt University of Berlin Berlin12489 Germany Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin150080 China Institute for Complex Systems and Mathematical Biology University of Aberdeen AberdeenAB24 3UE United Kingdom Department of Control Theory Nizhny Novgorod State University Gagarin Avenue 23 Nizhny Novgorod606950 Russia King Abdulaziz University Jeddah21589 Saudi Arabia

complex networks have, in recent years, brought many innovative impacts to large-scale systems. However, great challenges also come forth due to distinct complex situations and imperative requirements in human life nowadays. This paper attempts to present an overview of recent progress of synchronization of complex dynamical networks and its applications. We focus on robustness of synchronization, controllability and observability of complex networks and synchronization of multiplex networks. Then, we review several applications of synchronization in complex networks, especially in neuroscience and power grids. The present limitations are summarized and future trends are explored and tentatively highlighted. © 2014 Elsevier Ltd. All rights reserved.

关键词： Synchronization

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Non-Gaussian Approximation Iterative Receiver for MIMO-OFDM Vehicular Networks

Non-Gaussian Approximation Iterative Receiver for MIMO-OFDM ...

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

作者： Shuangshuang Han Liuqing Yang Xiang Cheng Shichao Chen Fenghua Zhu Zhongdong Yu Haitao Xie Qingdao Academy of Intelligent Industries State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Electronics Engineering and Computer Science Peking University Guang Zhou Communication Information Construction Investment and Operation Co.Ltd.

Multiple-Input Multiple-Output- Orthogonal Frequency Division Multiplexing(MIMO-OFDM) is adopted to vehicular networks to increase the capacity,reliability and *** this paper,iterative demodulation and decoding algorithms are studied to approach the capacity of MIMOOFDM vehicular *** analysing the drawbacks of the Gaussian approximation on the interference cancellation,NonGaussian approximation is proposed to enhance the performance of interference cancellation based detectors with large *** results demonstrate that the proposed non-Gaussian algorithm can achieve a significant performance gain over existing ones with high order constellations.

关键词： Gaussian Non-Gaussian Approximation Iterative Receiver for MIMO-OFDM Vehicular Networks

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Comparison of several filtering methods for linear multi-agent systems with local unknown parametric couplings

Comparison of several filtering methods for linear multi-age...

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3rd IFAC Conference on intelligent control and Automation Science, ICONS 2013

作者： Lv, Yini Ma, Hongbin Yang, Chenguang Fu, Mengyin Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 100081 China School of Computing and Mathematics Plymouth University United Kingdom

ISBN: (纸本)9783902823458

In this paper, several filtering methods for a class of discrete-time stochastic linear time-varying multi-agent systems with local coupling uncertainties have been investigated. Every agent can only observe its own measurements (outputs) and its neighbor agents' outputs while the states are invisible to any agent because of communication limitations existing in the considered multi-agent system. Because of the information constraints, without knowing the coupling gains of the local interactions, it is not easy for each agent to estimate its states by traditional Kalman filter or other state observers. Noting of the existence of coupling uncertainties in many practical applications, this paper introduces one general framework of decentralized filtering problem of multi-agent systems. For the considered system, based on the key idea of state augmentation and the certainty-equivalence principle borrowed from principles in adaptive control, we introduce several filtering methods to resolve the fundamental problem considered in this paper. By conducting extensive simulations, the consuming time and estimation errors of every method are compared for one typical example, which suggests which method is more precise and faster. Copyright © 2013 IFAC.

关键词： Kalman filters

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The CPG gait generate method of the quadruped robot based on iterative learning control algorithm

The CPG gait generate method of the quadruped robot based on...

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2013 2nd International Conference on Micro Nano Devices, Structure and Computing systems, MNDSCS 2013

作者： Wang, Cheng Gao, Junyao Duan, Xingguang Liu, Yi Li, Xin Xu, Zhe Sun, Wentao Intelligent Robotics Institute China Key Laboratory of Biomimetic Robots and Systems Ministry of Education China Key Laboratory of Intelligent control and decision of complex systems School of Mechatronical Engineering Beijing Institute of Technology Nandajie Zhongguancun Haidian Beijing 100081 China

ISBN: (纸本)9783037856420

Based on the quadruped robot, this paper mainly studies the two directions of the content. The first part mainly introduces the mechanical structure design and the construction of the control system of the quadruped robot, completes the prototype design of the quadruped robot based on hydraulic power system. The second part studies the CPG gait generate method of the quadruped robot based on iterative learning control algorithm. From the principle of bionics, firstly, we use the CPG principle to generate gait, and then use the iterative learning control theory to make the control more optimization. © (2013) Trans Tech Publications, Switzerland.

关键词： Learning algorithms

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Hand-eye servo and flexible control of an anthropomorphic arm

Hand-eye servo and flexible control of an anthropomorphic ar...

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2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013

作者： Ma, Gan Huang, Qiang Yu, Zhangguo Chen, Xuechao Meng, Libo Sultan, Malik Saad Zhang, Wen Liu, Yan IRI School of Mechatronical Engineering Beijing Institute of Technology Beijing China Key Laboratory of Biomimetic Robots and Systems Ministry of Education China Key Laboratory of Intelligent Control and Decision of Complex System China

ISBN: (纸本)9781479927449

One key technology for a humanoid robot is to sense the environment accurately and control the movement of the robot in realtime. This paper addresses this problem and focuses on the visual servoing control of an anthropomorphic robotic arm. A high precision, image-based visual servo algorithm for an eye-in-hand visual system is proposed to control the movement of the anthropomorphic arm. The control objective of the controller is to lock all the feature points at fixed points on the image plane. Then, impedance control law is implemented to keep the flexible of the arm. Finally, the effectiveness of the proposed methods are verified by experiments on our humanoid robotic arm platform. © 2013 IEEE.

关键词： Anthropomorphic robots

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Application of soft magnetic composite material in the field of electrical machines

Application of soft magnetic composite material in the field...

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2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013

作者： Li, Xiao Bei Zhao, Jing Chen, Zhen School of Automation Beijing Institute of Technology Beijing 100081 China Key laboratory for Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 10008 China

ISBN: (纸本)9783037858202

The property of the soft magnetic composite (SMC) material is introduced. Take the traditional material used for electric machine, i.e. the silicon steel lamination, as the reference, this paper summarizes the application advantages of SMC in the typical electric machine, such as tubular permanent-magnet liner machine, high-speed permanent-magnet machine, claw-pole machine, axial flux permanent-magnet machine and radial flux permanent-magnet machine. SMC material has much applied potential in the field of electric machine. © (2013) Trans Tech Publications, Switzerland.

关键词： Electric machinery

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A Framework of Finite-model Kalman Filter with Case Study： MVDP-FMKF Algorithm

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自动化学报 2013年第8期39卷 1246-1256页

作者： FENG Bo MA Hong-Bin FU Meng-Yin WANG Shun-Ting School of Automation Beijing Institution of TechnologyBeijing 100081China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of TechnologyBeijing 100081China

然而，过滤技术的 Kalman 广泛地在许多应用被使用了为线性 Gaussian 系统的标准 Kalman 过滤器不能通常工作很好或甚至面对大模型无常分叉。在实际应用程序，有高费用的实验的大数字是昂贵的或对甚至不可能获得一个准确系统模型。在有... 详细信息

然而，过滤技术的 Kalman 广泛地在许多应用被使用了为线性 Gaussian 系统的标准 Kalman 过滤器不能通常工作很好或甚至面对大模型无常分叉。在实际应用程序，有高费用的实验的大数字是昂贵的或对甚至不可能获得一个准确系统模型。在有限模型的适应控制上由我们的以前的开创的工作激发了，过滤的有限模型的 Kalman 的一个框架在这份报纸被介绍。这个框架想那大模型无常可以被能与对方很不同的已知的模型的一个有限集合限制。而且，在集合的已知的模型的数字能灵活地被选择以便换句话说，不明确的模型可以被已知的模型之一总是接近大模型无常被已知的模型的凸的壳盖住。在介绍框架以内根据经由最小化的向量距离原则的适应切换的想法，一个简单有限模型的 Kalman 过滤器， MVDP-FMKF，被广泛的模拟算术地提出并且说明。MEMS 回转仪飘移的一个实验验证了建议算法的有效性，显示有限模型的 Kalman 过滤器的机制在 Kalman 过滤器的实际应用有用、有效，特别在惯性的航行系统。

关键词：卡尔曼滤波技术有限模型框架算法卡尔曼滤波器不确定性模型惯性导航系统自适应控制

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一种仿生水下机器人的设计与动力学分析(英文)

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自动化学报 2013年第8期39卷 1330-1338页

作者： WEI Qing-Ping WANG Shuo DONG Xiang SHANG Liu-Ji TAN Min The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Institute of Intelligent Machines Chinese Academy of Sciences

A biomimetic underwater vehicle propelled by two undulating long-fins is introduced in this paper. The concerned vehicle is propelled by two symmetrical undulating long-fins installed on both sides. Ten servo motors are employed to drive the long-fins and cosine wave function is employed for motor control. A real-time control system is designed for controlling the long-fins by adjusting its oscillating frequency and oscillating amplitude. An inertial measurement unit is installed to collect the accelerations and angular velocity. To obtain the relationship between oscillating frequency/amplitude and swimming performance, kinematic analysis and hydromechanic analysis are given. By dividing the long-fin into many small elements and computing the hydrodynamic force acting on each element, the instantaneous thrust generated by the long-fin is obtained. Then the average thrust of the long-fin is obtained by summing up the forces acted on the elements in one undulating period. Then swimming experiments are carried out to validate the vehicle design and kinematic analysis and hydromechanic analysis. And two swimming motion modes including marching and rotating locomotion are chosen. Finally, discussions between the swimming performance and the oscillating parameters are given.

关键词：水下机器人车辆设计动力学分析起伏仿生鳍计算流体动力学运动学分析

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