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2010 2nd International Conference on Signal Processing system(2010年信号处理系统国际会议 ICSPS 2010)

作者： Yixu Song Jing Hu Xiaokui Yang Xiufen Xie Jie Fu State Key Laboratory of Intelligent Technology and System Department of Computer Science and Technol Department of Computer Science and Technology University of Science and Technology Beijing Beijing Sany Intelligent Control Equipment CO.LTD Changsha Hunan China

The sampling storage method which used in the current data stream could not respond data tendency effectively. For the problem, this paper presents a new processing method based on curve fitting. A weighted least square principle is used to fit the cached stream data and better model description is obtained. Then the fitting results are analyzed by clustering algorithm, which serves as a classifier for polynomial fitting parameters According to the clustering result, the appropriate window size will be given to fit the periodic stream data. Comparing the function solutions with the actual data, the different methods are adopted to store data according to the comparison result. The experimental results indicate that the proposed method has better fitting accuracy and compression ratio, could meet the requirement of data stream processing. And the data tendency could be responded effectively by the fitting results.

关键词： curve fitting data stream clustering least-square principle

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Local entropy difference-fast marching method for leak diagnosis and localization

Local entropy difference-fast marching method for leak diagn...

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IEEE/ASME (AIM) International Conference on Advanced intelligent Mechatronics

作者： Ling Zhao Tao Wang Wei Fan Nan Ge Tong Zhao Guangzheng Peng School of Automation Complicated System of Intelligent Control and Decision Key Laboratory of Education Ministry Beijing Institute of Technology Beijing China Department of Engineering Physics Tsinghua University Beijing China

In this paper, an effective technique for leak diagnosis and localization which couples the local entropy difference method (LEDM) to the fast marching method (FMM) is proposed. A computer-based system is described to combine a specific pneumatic circuit with an on-line infrared camera which is used to test the air-tightness of a test vessel. The test object is charged with cryogenic compressed air and its temperature field is acquired by infrared thermography in this system. Then, both the leakage point and its edge can be identified by means of the designed LED-FM method. An experiment is conducted that confirms that the leak diagnosis and localization method presented in this paper is effective in diagnosing leakage points and in extracting accurate leakage edges, in spite of the presence of surface defects.

关键词： Entropy Pixel Image edge detection Level set Cameras Equations Probes

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New development thoughts on the bio-inspired intelligence based control for unmanned combat aerial vehicle

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Science China(Technological Sciences) 2010年第8期53卷 2025-2031页

作者： DUAN HaiBin 1 ,SHAO Shan 2 ,SU BingWei 3 &ZHANG Lei 41 state key laboratory of Science and technology on Holistic Flight Control,School of automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics,Beijing 100191,China 2 Flight Control department,Shenyang Aircraft Design and Research Institute,Shenyang 110035,China 3 Beijing Institute of Near Space Vehicle’s system Engineering,Beijing 100076,China 4Integration and Project Section,Air Force Equipment Academy,Beijing 100085,China 1. State Key Laboratory of Science and Technology on Holistic Flight Control School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing 100191 China2. Flight Control Department Shenyang Aircraft Design and Research Institute Shenyang 110035 China3. Beijing Institute of Near Space Vehicle’s System Engineering Beijing 100076 China4. Integration and Project Section Air Force Equipment Academy Beijing 100085 China

Bio-inspired intelligence is in the spotlight in the field of international artificial intelligence,and unmanned combat aerial vehicle(UCAV),owing to its potential to perform dangerous,repetitive tasks in remote and hazardous,is very promising for the technological leadership of the nation and essential for improving the security of *** the basis of introduction of bioinspired intelligence and UCAV,a series of new development thoughts on UCAV control are proposed,including artificial brain based high-level autonomous control for UCAV,swarm intelligence based cooperative control for multiple UCAVs,hy-brid swarm intelligence and Bayesian network based situation assessment under complicated combating environments, bio-inspired hardware based high-level autonomous control for UCAV,and meta-heuristic intelligence based heterogeneous cooperative control for multiple UCAVs and unmanned combat ground vehicles(UCGVs).The exact realization of the proposed new development thoughts can enhance the effectiveness of combat,while provide a series of novel breakthroughs for the intelligence,integration and advancement of future UCAV systems.

关键词： bio-inspired intelligence unmanned combat aerial vehicle(UCAV) artificial brain autonomous control bayesian network bio-inspired hardware heterogeneous cooperative control

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An adaptive modeling approach based on ESN for robotic belt grinding

An adaptive modeling approach based on ESN for robotic belt ...

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International Conference on Information and automation (ICIA)

作者： Hongbo Lv Yixu Song Peifa Jia Zhongxue Gan Lizhe Qi State Key Laboratory of Intelligent Technology and System Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University Beijing China Inter Smart Robotic Systems Company Limited Langfang Hebei China

ISBN: (纸本)9781424457014

Robotic belt grinding system has good prospect to release hand-grinder from their dirty and noisy working environment. However, as a kind of non-rigid processing system, it is a challenge to model its processes precisely for free-form surface because its performance is unstable due to a variety of factors, such as belt wear and belt replacement. In order to adapt to the variability, an adaptive modeling approach based on echo state network (ESN) is presented, whose major idea is to exhaust information from new data by using sliding window technique to select training samples. With machine learning paradigm this approach is more flexible than traditional ones which often base on formula and experimental curves. Experimental results of grinding turbine blades demonstrate this approach is workable and effective.

关键词： Belts Service robots Computational geometry Robotics and automation intelligent robots Turbines Blades Mobile robots Working environment noise Grinding machines

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Evaluation of continuity effectiveness for networked space based information system

Evaluation of continuity effectiveness for networked space b...

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作者： Chen, Chen Chen, Jie Zhang, Juan Department of Automation Tsinghua University Beijing 100084 China School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China

ISBN: (纸本)9787894631046

As the trend of future space based information system, networked space based information system can acquire and process all sorts of information more quickly and continuously under the user task scheduling. In the background of earthquake relief for applications, working flow and main tasks of the system are analyzed, and continuity effectiveness evaluation index system is constructed in multi-task level. The continuity effectiveness is a measurement of intensive degree of information returned. Evaluation model based on grey evaluation method is constructed and different reference indexes are used for different tasks. Examples are given by using statistical data in simulation, and the integrative evaluation results are obtained. Detailed evaluation results in every specific task level are offered, which are helpful to find out the effectiveness bottleneck factors meanwhile provide guidance in system design and development.

关键词： Information use

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Dynamic modeling and tracking control of fuel filled space robotic system with flexible manipulators

Dynamic modeling and tracking control of fuel filled space r...

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International Symposium on systems and Control in Aerospace and Astronautics (ISSCAA)

作者： Xinxin Yang Xiong Luo Fuchun Sun Fengge Wu Huaping Liu School of Information Engineering Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing China State Key Laboratory of Intelligent Technology and System Department of Computer Science and TechnologyTsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China

In recent years, dynamics model and control of space robot system are the hot topics in the research field. In this paper, a new dynamics model and control strategy of space robotic system with a flexible manipulator and a liquid fuel tank are investigated. Based on Lagrange equation method, the dynamics model of the space robotic system coupling with liquid sloshing, flexibility vibration and base movement is derived. The elastic deflection of the flexible manipulator is described by the assumed mode method and equivalent mechanical model is adopted instead of liquid sloshing under the environment of low-gravity. The inverse dynamics control algorithm combined with PD control method is performed to solve the trajectory tracking problem. Some simulation results are given to verify the effectiveness of the proposed method.

关键词： Mathematical model Aerospace electronics Manipulator dynamics Equations Space vehicles

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Fuzzy dynamic characteristic modeling and intelligent adaptive control for complex spacecraft

Fuzzy dynamic characteristic modeling and intelligent adapti...

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World Congress on intelligent Control and automation (WCICA)

作者： Xiong Luo Song Hu Zengqi Sun Xintao Qiu School of Information Engineering Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing China State Key Laboratory of Intelligent Technology and System Department of Computer Science and Technology Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China

Because of strong coupling, nonlinear, and time-varying characteristics, it is difficult to control complex spacecraft. By means of combining with controlled object dynamics and performance requirements, characteristic modeling and control approach is an effective way to solve this problem. Aimed at the flexible satellites described by using characteristic modeling approach, with the help of fuzzy rules, fuzzy dynamic characteristic modeling method and intelligent adaptive controller are designed to control this complex spacecraft. Meanwhile, based on the satellite system simulation platform, we validate the correctness and efficiency of the proposed modeling and control method by comparing with the simulation results of the other similar methods.

关键词： Adaptation model Laboratories Satellites Space vehicles intelligent control Artificial intelligence Information science

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Notice of Retraction: An adaptive SVR modeling method based on VFS for robotic grinding

Notice of Retraction: An adaptive SVR modeling method based ...

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International Conference on Computer Science and Information technology (CSIT)

作者： Yang Yang Yixu Song Jiaxin Wang Zhongxue Gan Lizhe Qi State Key Laboratory of Intelligent Technology and System Department of Computer S&T Tsinghua University Beijing China Research and Development Center InterSmart Robotic Systems Company Limited Langfang Hebei China

This article has been retracted by the publisher.

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A novel isotropic conductive adhesive with Ag flakes, BN and SiC nanoparticles

A novel isotropic conductive adhesive with Ag flakes, BN and...

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International Symposium on Advanced Packaging Materials

作者： Huaxiang Lai Xiuzhen Lu Si Chen Chune Fu Johan Liu Key State Laboratory of New Displays and System Applications and SMIT Center School of Automation and Mechanical Engineering Shanghai University Shanghai China SMIT Center & Bionano Systems Laboratory Department of Microtechnology and Nanoscience Chalmers University of Technology Gothenburg Sweden

Isotropic conductive adhesives (ICAs) with lower bonding temperature, higher resolution and environmental friendly have been used extensively in packaging process. In order to improve the electrical and thermal conductive properties of ICAs, two kinds of bimodal high temperature stable ICAs with matrix SHT6 and fillers with composition of macro silver flakes and boron nitride nanoparticles or macro silver flakes and silicon carbide nanoparticles were studied. In these two kinds of adhesives, the silver flakes were 75wt%, and the contents of nanoparticles were 0wt%, 0.5wt%, 1.5wt%, 2.5wt%, 3wt%, 5wt% in weight. All the samples were cured at 150°C for 1 hour. SEM images and EDS results show the nanoparticles disperse randomly in the ICA. The electrical resistivity of these ICAs depends on the contents of silver flakes and is hardly affected by BN nanoparticles and SiC nanoparticles. The thermal conductivity of these ICAs increases firstly with the weight increase of the BN nanoparticles and SiC nanoparticles. And then it decreases when the content of the nanoparticles beyond a certain point.

关键词： Conductive adhesives Silicon carbide Nanoparticles Independent component analysis Silver Thermal conductivity Temperature Bonding Packaging Boron

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Active fault-tolerant control design for T-S fuzzy systems with application to a near space vehicle

Active fault-tolerant control design for T-S fuzzy systems w...

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IEEE International Symposium on intelligent Control (ISIC)

作者： Zhifeng Gao Bin Jiang Youmin Zhang Fuchun Sun College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China Department of Mechanical and Industrial Engineering Concordia University Montreal QUE Canada State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing China

Based on adaptive and ℋ ∞ control techniques, this paper deals with the problem of active fault-tolerant control for a class of T-S fuzzy systems with actuator faults. The presented approach is dependent on a fuzzy iterative learning observer (ILO), which produces a control input adjustment term in order to compensate for the effect of actuator faults. Based on Lyapunov theorem, a sufficient condition for the stability of error dynamic systems is derived. The active fault-tolerant control strategy proposed in the paper is finally demonstrated in simulation on the near space vehicle (NSV) reentry attitude dynamics to illustrate its effectiveness.

关键词： Fuzzy systems Actuators Vehicle dynamics Fault diagnosis Observers Fault tolerance Fault tolerant systems

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