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International Symposium on Computational Intelligence and Design, ISCID

作者： Hao Luo Zhihong Deng Mengyin Fu Bo Wang National Key Laboratory of Intelligent Control and Decision of Complex System School of Automation Beijing China

ISBN: (纸本)9781479970063

In this paper, it studies the various elements of map-matching algorithm, in order to achieve better real-time and accuracy for vehicle navigation systems. This paper uses two-stage staggered mesh, combined with the second round screening domain. Using of vehicle location, direction, road geometric and topological relations with the angular rate of change, this paper proposes a new map matching algorithm, angle and distance segment dominated approach. The results show that the map-matching algorithm in this paper can achieve vehicle navigation and positioning functions accurately and quickly.

关键词： Roads Vehicles Navigation Accuracy Real-time systems Network topology Adaptive algorithms

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complex Terrain Perception based on Hidden Markov Model

Complex Terrain Perception based on Hidden Markov Model

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

作者： Meiling WANG Liang ZUO Yi YANG Qiangrong YANG Tong LIU School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex System

Terrain perception in complex environment is important for Autonomous Land Vehicle to drive *** order to access the terrain information,in this paper,we present a terrain perception method based on Hidden Markov Model(HMM) which combines LIDAR with machine *** the basis of spatial fan-shaped model,terrain feature extraction is performed to acquire the observation *** markov models describe the vertical structure of the driving space and Viterbi algorithm is used for terrain *** the navigation decision is given based on the perception of the complex *** results show that the method can give an accurate environment description for ALV.

关键词： terrain perception,sensor fusion,feature extraction,principal component analysis,multihidden markov models

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Experiments of a human-robot social interactive system with whole-body movements 20

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20th CISM-IFToMM Symposium on Theory and Practice of Robots and Manipulators, ROMANSY 2014

作者： Ma, Gan Huang, Qiang Yu, Zhangguo Chen, Xuechao Zhang, Weimin Gao, Junyao Duan, Xingguang Shi, Qing IRI School of Mechatronical Engineering Beijing Institute of Technology Beijing China Key Laboratory of Biomimetic Robots and Systems Ministry of Education Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China

ISBN: (纸本)9783319070575

One crucial problem for a humanoid service robot is to be able to communicate with humans naturally. This study focuses on this issue and develops a social interactive system for a humanoid robot to interact with human beings. The interactive system features hearing, voice conversation, and facial and full body emotional expression capability. Experiments are conducted on the robot to interact with humans in a real human indoor environment, and the effectiveness of the system is evaluated. © Springer International Publishing Switzerland 2014.

关键词： Anthropomorphic robots

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Cooperative adaptive fuzzy control of high-order nonlinear multi-agent systems with unknown dynamics 19

Cooperative adaptive fuzzy control of high-order nonlinear m...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Huang, Jie Fang, Hao Chen, Jie Dou, Lihua Deng, Fang School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China Fujian Institute of Education Fuzhou350025 China

ISBN: (纸本)9783902823625

This paper focuses on the cooperative adaptive fuzzy control of high-order nonlinear multi-agent systems. The communication network is a undirected graph with a fixed topology. Each agent is modeled by a high-order integrator incorporating with unknown nonlinear dynamics and an unknown disturbance. Under the backstepping framework, a robust adaptive fuzzy controller is designed for each agent such that all agents ultimately achieve consensus. Moreover, these controllers are distributed in the sense that the controller design for each agent only requires relative state information between itself and its neighbors. A four-order simulation example demonstrates the effectiveness of the algorithm. © IFAC.

关键词： Multi agent systems

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Distributed adaptive tracking on Lagrangian systems with reduced interaction 11

Distributed adaptive tracking on Lagrangian systems with red...

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2014 11th World Congress on intelligent control and Automation, WCICA 2014

作者： Liu, Yuchen Fang, Hao Mao, Yutian School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781479958252

In this paper, we propose a distributed adaptive approach for tracking problem without using leader's velocity information, where agents are modeled by Euler-Lagrange equations. It is assumed that only a small fraction of agents within the leader's communication range are informed about the position of the leader. Without using the leader's velocity information, a connectivity-preserving adaptive controller is proposed to achieve tracking control on Lagrangian systems with the leader of constant velocity. Moreover, position and velocity consensus can be achieved asymptotically with the proposed control strategy. Numerical simulations are further provided to illustrate the theoretical results. © 2014 IEEE.

关键词： Adaptive control systems

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Decentralized flocking of multi-robot systems with connectivity maintenance

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Kongzhi Lilun Yu Yingyong/control Theory and Applications 2014年第10期31卷 1393-1403页

作者： Mao, Yu-Tian Chen, Jie Fang, Hao Dou, Li-Hua Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China

Connectivity maintenance of flocking is vital for stability and fast state convergence of the entire multirobot system. To this end, the problem of flocking of multiple nonholonomic wheeled mobile robots with connectivity maintenance on directed communication graphs is investigated, provided that the initial network is strongly connected but not balanced. First, a new class of smooth and bounded artificial potential fields is developed to satisfy the requirements of connectivity maintenance, collision avoidance and distance stabilization, simultaneously. Furthermore, by combining potentialbased gradient control techniques and the consensus seeking control schemes, we propose a set of smooth and bounded control protocols for leaderless flocking or flocking with local leader-follower with connectivity maintenance. Those control protocols not only avoids the chattering and saturation caused by the discontinuous/nonsmooth and unbounded flocking algorithms, but also extend the traditional connectivity-preserving flocking algorithms for both the individual motion model and the network topology types. Finally, nontrivial simulations and experiments are performed to validate the effectiveness of the proposed smooth and bounded control strategies. ©, 2014, South China University of Technology. All right reserved.

关键词： Multipurpose robots

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HCLC integration design and high-precision control of a joint for space manipulator 20

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20th CISM-IFToMM Symposium on Theory and Practice of Robots and Manipulators, ROMANSY 2014

作者： Jiang, Zhihong Li, Hui Dong, Que Zhang, Xiaodong Tang, Zixing Rao, Wei Mo, Yang Ji, Chenjun Huang, Qiang IRI School of Mechatronical Engineering Beijing Institute of Technology Beijing China Key Laboratory of Biomimetic Robots and Systems Ministry of Education Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China Institute of Spacecraft System Engineering CAST Beijing China

ISBN: (纸本)9783319070575

A novel method is presented to solve many problems of joints for space manipulator, such as large volume, large flexibility, complex routing and low system-control precision, which can realize integrated design for space manipulator joint with high-cohesion and low-coupling (HCLC) performance. Moreover, the mechanical and electrical interfaces of designed joint are especially suitable for space manipulator. First, To achieve higher system performance, the joint is designed as a whole for perfect match among components including permanent magnet synchronous motor (PMSM), motor controller and driver, sensors, space environment controller, reducer, routing and other mechanisms, which could eliminate redundant shell packages and mounting surfaces existed in traditional manipulator joint. Second, a new method is presented to design the rotors of two resolvers as joint sensors at the same axis shared with motor rotor, this kind of design has the advantages of redundant and high-precision sensing for the positions of motor rotor and joint, and joint position signal is differential sensing and has high robustness. Then, a kind of high-precision controller is presented for space manipulator based on a new PMSM model with model difference, and this controller is robust to joint nonlinear factors, such as friction and other disturbance torque. Finally, the experimental results showed the designed joint had fine performances with high power density, high controlling precision and high operation stability and so on, and it is suitable for the application of space manipulator. © Springer International Publishing Switzerland 2014.

关键词： controllers

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Color moving object detection method based on automatic color clustering

Color moving object detection method based on automatic colo...

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Chinese control Conference (CCC)

作者： Jing Li Junzheng Wang Jiali Mao Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Beijing Beijing CN

Moving object detection is usually used in gray image, and the color image should be converted to gray images to achieve detection. However, the color object can't be described by simple gray information completely. In order to achieve automatic color moving object detection, the method based on automatic color clustering is especially proposed. Because the difference between adjacent pixels in an image is very small, the initial cluster center can be moved in the maximum distance. The proposed method can reduce the number of iterations and quicken convergence speed, meanwhile determine the number of color cluster and the location of the color object automatically. The proposed algorithm is validated in the actual system, experimental results show that the proposed method can automatically achieve color clustering for color image, while detect color objects.

关键词： Image color analysis Clustering algorithms Image segmentation Color Classification algorithms Object segmentation Object detection

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Sentence-length informed method for active learning based resource-poor statistical machine translation 3

Sentence-length informed method for active learning based re...

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3rd CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2014

作者： Du, Jinhua Wang, Miaomiao Zhang, Meng School of Automation and Information Engineering Xi’an University of Technology Xi’an710048 China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an710048 China

ISBN: (纸本)9783662459232

This paper presents a simple but effective sentence-length informed method to select informative sentences for active learning (AL) based SMT. A length factor is introduced to penalize short sentences to balance the "exploration" and "exploitation" problem. The penalty is dynamically updated at each iteration of sentence selection by the ratio of the current candidate sentence length and the overall average sentence length of the monolingual corpus. Experimental results on NIST Chinese–English pair and WMT French-English pair show that the proposed sentence-length penalty based method performs best compared with the typical selection method and random selection strategy. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Iterative methods

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Improved ICCP algorithm and its application in gravity matching aided inertial navigation system

Improved ICCP algorithm and its application in gravity match...

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Chinese control Conference (CCC)

作者： Meiqi Liu Bo Wang Zhihong Deng Mengyin Fu School of Automation and National Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing Beijing CN

Considering two disadvantages in traditional gravity matching aided inertial navigation system, low matching accuracy and error accumulation, we propose an improved gravity matching algorithm and aided method for inertial navigation system. Instead of using the sequence sampling, the single point sampling is applied to improve the structure of proposed algorithm, enhancing the matching speed and efficiency. In the aided navigation system method, we use combination of Sage-Husa adaptive filter and strong-tracked Kalman filter to make further optimal estimation of the matching trajectory. Simulation results show the effectiveness of the real-time ICCP algorithm and the combined filter algorithm. Comparing to the traditional methods, proposed method provides higher matching and navigation accuracy.

关键词： Gravity Filtering algorithms Algorithm design and analysis Navigation Accuracy Filtering theory

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