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Application of fuzzy cognitive map in information intelligent push

Journal of Beijing Institute of Technology 2015年第4期24卷 553-557页

作者：张佳徐胜利邓方 School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems

Since computer system functions are becoming increasingly complex, the user has to spend much more time on the process of seeking information, instead of utilizing the required infor- mation. Information intelligent push technology could replace the traditional method to speed up the information retrieval process. The fuzzy cognitive map has strong knowledge representation ability and reasoning capability. Information intelligent push with the basis on fuzzy cognitive map could ab- stract the computer user＇ s operations to a fuzzy cognitive map, and infer the user＇ s operating inten- tions. The reasoning results will be translated into operational events, and drive the computer system to push appropriate information to the user.

关键词： fuzzy cognitive map artificial intelligence information intelligent push

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Shadow lane robust detection by image signal local reconstruction

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2016年第3期9卷 89-102页

作者： Du, Mingfang Junzheng, Wang Nan, Li Duoyang, Li School of Automation Beijing Union University Beijing China State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China Beijing Key Laboratory of Information Service Engineering

In order to resolve shadow interference and slow image processing speed in the visual navigation of unmanned vehicles on city roads, a new lane detection algorithm based on the Inverse Perspective Mapping(IPM) of vertical sub-image reconstruction using local bands was proposed. The lane’s IPM aerial image was obtained using the projective transformation of three-dimensional images of city roads. The ROI portion of the IPM map was decomposed and analyzed using the sym3 wavelet, and after analyzing and comparing the experimental results the first and second levels of the vertical sub images were selected for the reconstruction, compression, and removal of shadows from the original image. The Canny algorithm was proposed and adopted in order to extract the edge features of the reconstructed images according to real-time road image quality. A modified, polar angle, constraint-based, fast Hough transform was used to locate the candidate lanes. Finally, the main control point, straight-line-fitting algorithm was used to fit the final lanes, which achieved the precise location and recognition of the lane lines. The California Polytechnic lane data set, a public data platform, which is now widely used in road visual recognition fields around the world, was selected for the testing and verification of the algorithm. The results of the experiment and actual operation indicated that, despite having a storage space of approximately one tenth the size of similar algorithms, this detection algorithm effectively solves the issue of shadow removal, meets the real-time requirements of roadway image processing systems for unmanned vehicles with a recognition time of less than 20ms, and is robust. © 2016 SERSC.

关键词： Wavelet transforms

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The Application of Square-Root Cubature Kalman Filter in the SINS/CNS integrated navigation system

The Application of Square-Root Cubature Kalman Filter in the...

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2016 IEEE Chinese Guidance, Navigation and control Conference (IEEE CGNCC2016)

作者： Dongyang Zhang Zhihong Deng Bo Wang Mengyin Fu School of Automation and National Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Nanjing University of Science and Technology

ISBN: (纸本)9781467383196

The integrated navigation system can improve the navigation accuracy utilizing the redundant *** Extended Kalman Filter(EKF) is commonly used in the integrated navigation *** usually takes only one-order of Taylor expansion and needs to calculate the Jacobian matrix,which will affect the accuracy and numerical stability of the system *** in this paper the application of Square-Root Cubature Kalman Filter(SCKF) method was proposed to solve the above problems in the SINS/CNS integrated navigation *** simulation results show that the position,velocity and attitude errors are reduced effectively compared with the EKF *** SCKF method is more suitable for the state estimation problems in integrated navigation system.

关键词： The Application of Square-Root Cubature Kalman Filter in the SINS/CNS integrated navigation system Kalman CNS Filter

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Framework Based Universal Simulation For Satellite Project

Framework Based Universal Simulation For Satellite Project

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第35届中国控制会议

作者： Xing Xin Zhen LI Xiangyuan Zeng Xiangdong Liu Zhi Yang Song Xie School of Automation Beijing Institute of Technology Chinese National Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology DFH Satellite co. Ltd

ISBN: (纸本)9781509009107

An integrated simulation system is proposed in the paper,which considers the universal runtime platform environment,the resource management mechanism,and the aerospace oriented model software *** platform is compatible with the HLA protocol and support both synchronous and asynchronous modes for data *** simulation execution is established on the specifically formulated scenarios,which provides flexibilities in customizing the organization of the simulation *** resource framework is designed by combining the characteristics of both aerospace engineering and software engineering,and the modeling objects are expanded from the entities of satellites,sub-systems and equipments,to the non-entity relationships of the system *** the developed model database and management software,the simulation can be applied either in the visible and non-programming way,or in a secondary development way with ***,the proposed system is user-friendly to engineers with various disciplinary backgrounds.

关键词： Universal Simulation simulation platform framework small Satellite model Software

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The Energy Consumption Analysis of Hydraulic Quadruped Robot based on Gait Parameters 34

The Energy Consumption Analysis of Hydraulic Quadruped Robot...

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第三十四届中国控制会议

作者： ZONG Xiaoyan Wang Shoukun Wang Junzheng Chen Guangrong Zhang Xiaoling State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology

ISBN: (纸本)9781467374439

The optimization of the energy consumption is one of the most important problems that face the designers of mobile robots. This implies that it is significant to analyze the energy consumption of hydraulic quadruped robot under different gait parameters. In this paper, the kinematics and dynamics models of a hydraulic quadruped robot are established firstly. Then, the length of step, the height of step, the height of center of mass, and the duty ratio of gait cycle are set as the primary research points about the energy consumption of mobile robot. In addition, the energy consumptions of the feet with and without mechanical springs are compared and analyzed. In order to get the visual observation of energy cost in the hydraulic quadruped robot during a waking cycle and the best set of locomotion variables that achieve the energy optimization, related simulations are done for gait parameters. Finally, the results provide a recommendation for the gait planning of the hydraulic quadruped robot, that is, the quadruped robot should walk with a relatively long step length, a relatively low height of step, a relatively high height of center of mass, and a relatively small duty ratio of gait cycle.

关键词： Hydraulic quadruped robot Kinematics Dynamics Gait parameters Energy consumption

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Real-time terrain estimation based on multi-scale radial basis function for unmanned ground vehicle

Real-time terrain estimation based on multi-scale radial bas...

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International Conference on Information and automation (ICIA)

作者： Yi Yang Zhili Wang Xinghe Li Mengyin Fu Beijing Institute of Technology Beijing China Nanjing University of Science and Technology Nanjing China School of Automation and State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China

ISBN: (纸本)9781509041039

Accurate terrain estimation is essential for unmanned ground vehicle (UGV) to achieve autonomous navigation. However, some existing approaches are difficult to reconstruct the 3D surface in real-time because of serious amount of computation. A method of environmental terrain estimation based on multi-scale radial basis function with a 3D lidar mounted on a moving vehicle was proposed in this paper. By combining kernel template with terrain grid map, the approach is applicable to the non-uniform density distribution of laser point cloud with the increasing detection range and improves the efficiency of calculation. What's more, the estimation of culverts and trees will be more accurate if treat the point cloud in separate layers for suspended obstacles problem. All terrain estimation approaches were verified with good performance in an interactive system, which is set up with Virtual Robot Experimentation Platform (VREP) and actual vehicle.

关键词： Three-dimensional displays Estimation Laser radar Kernel Lasers Surface reconstruction Real-time systems

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Optimal sequential estimation for multirate dynamic systems with unreliable measurements and correlated noise

Optimal sequential estimation for multirate dynamic systems ...

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第35届中国控制会议

作者： Liping Yan Jun Liu Lu Jiang Yuanqing Xia Bo Xiao Yang Liu Mengyin Fu Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

ISBN: (纸本)9781509009107

In the field of target tracking and navigation,multi-sensor data fusion has been widely *** of the data fusion algorithms are built on the premise that the sensor observation information is ***,in practical problems,due to the limitation of communication and sensor fault,etc.,data missing or unreliable measurements will happen *** addition,at present a lot of research is aimed at the situation where measurement noise between various sensors is not relevant,and process noise and measurement noise is *** correlation is more *** this paper,a multi-rate multi-sensor data fusion state estimation algorithm with unreliable observations under correlated noises is presented.A numerical example is given to show the feasibility and effectiveness of the presented algorithm.

关键词： state estimation sequential fusion correlated noise unreliable measurements

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Dynamic multi-team antagonistic games model with incomplete information and its application to multi-UAV

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IEEE/CAA Journal of Automatica Sinica 2015年第1期2卷 74-84页

作者： Zha, Wenzhong Chen, Jie Peng, Zhihong School of Automation Beijing Institute of Technology Beijing100081 China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China

At present, the studies on multi-team antagonistic games (MTAGs) are still in the early stage, because this complicated problem involves not only incompleteness of information and conflict of interests, but also selection of antagonistic targets. Therefore, based on the previous researches, a new framework is proposed in this paper, which is dynamic multi-team antagonistic games with incomplete information (DMTAGII) model. For this model, the corresponding concept of perfect Bayesian Nash equilibrium (PBNE) is established and the existence of PBNE is also proved. Besides, an interactive iteration algorithm is introduced according to the idea of the best response for solving the equilibrium. Then, the scenario of multiple unmanned aerial vehicles (UAVs) against multiple military targets is studied to solve the problems of tactical decision making based on the DMTAGII model. In the process of modeling, the specific expressions of strategy, status and payoff functions of the games are considered, and the strategy is coded to match the structure of genetic algorithm so that the PBNE can be solved by combining the genetic algorithm and the interactive iteration algorithm. Finally, through the simulation the feasibility and effectiveness of the DMTAGII model are verified. Meanwhile, the calculated equilibrium strategies are also found to be realistic, which can provide certain references for improving the autonomous ability of UAV systems. © 2014 Chinese Association of automation.

关键词： Genetic algorithms

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control of Bilateral Teleoperation with Time Delay Considering Operator Force Sending 34

Control of Bilateral Teleoperation with Time Delay Consideri...

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第三十四届中国控制会议

作者： QIN Yongming XIA Yuanqing School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology

ISBN: (纸本)9781467374439

Force reflection methods are widely used in teleoperation with force sensors on slave manipulator. However, force sensors would impair manipulator structure and may be installed or maintained difficultly on slave site. Additionally, in some tasks operator pays more attention to control the exerted force on environment than to fell the reflection force. Considering these factors, a force sending method is proposed in this paper with force sensors installed only on master manipulator. Adjusted virtual force is provided to operator on master site. Operator force sending and slave manipulator position tracking are achieved without conflict on slave site. Stability analysis is presented based on ISS(input-to-state stability) method and numerical simulations are given to show the effectiveness.

关键词： bilateral teleoperation,time delay,force sending,position tracking,contact force

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Optimal Design of controllers Based on Libraries and Differential Evolution 34

Optimal Design of Controllers Based on Libraries and Differe...

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第三十四届中国控制会议

作者： SUN Zhenlu XIN Bin CHEN Jie School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems

ISBN: (纸本)9781467374439

This paper presents a new method for optimal design of controllers based on a "library" thought and differential *** first an extensible component library and a performance criteria library are established in the *** component library contains different types of system components which may be essential for controller *** components can be selected from the library and then combined to form a controller with richer *** performance criteria library includes some common control performance *** can choose one from it according to performance ***,the differential evolution algorithm is utilized to optimize the parameters of each component in order to find the optimal solution and ultimately obtain the controller structure and parameters which meet *** were done on different types of control *** results show that the controllers designed by the proposed method for different types of control objects generally have better comprehensive performance than the PID controllers designed by conventional methods,differential evolution and genetic ***,stability and generalizability of the proposed method were also tested and verified.

关键词： controller Design Differential Evolution Component Library Performance Criteria Library

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