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2008 American control Conference (ACC), vol.9

作者： Junyan Yu Long Wang Mei Yu Yingmin Jia Jie Chen Intelligent Control Laboratory Center for Systems and Control College of Engineering Peking University Beijing China Department of Automation North China Electric Power University Beijing China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing China

We consider the output feedback stabilizability of networked control systems with bounded packet loss. A packet-loss dependent Lyapunov function is adopted to design packet-loss dependent stabilizing output feedback controllers by resolving some linear matrix inequalities. Moreover, two types of packet-loss processes are discussed: one is the arbitrary packet-loss process, and the other is the Markovian packet-loss process. A numerical example and some simulations are worked out to demonstrate the effectiveness of the proposed design technique.

关键词： Networked control systems Output feedback control systems Switched systems State feedback Lyapunov method Linear matrix inequalities Electrical equipment industry Industrial control Sufficient conditions

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Packet-loss dependent controller design for networked control systems via switched system approach

Packet-loss dependent controller design for networked contro...

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IEEE Conference on decision and control

作者： Junyan Yu Long Wang Mei Yu Yingmin Jia Jie Chen Intelligent Control Laboratory Center for Systems and Control College of Engineering Peking University Beijing China Department of Automation North China Electric Power University Zhuxinzhuang Beijing China The Seventh Research Division Beihang University Beijing China Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China

ISBN: (纸本)9781424431236

The stabilization problem of networked control systems with bounded packet loss is addressed. We model such networked control systems as a class of switched systems, and present sufficient conditions for the stabilization by using a packet-loss dependent Lyapunov function. Moreover, different from existing results, we propose the design for packet-loss dependent stabilizing controllers for two types of packet-loss processes: one is a arbitrary packet-loss process, and the other is a Markovian packet-loss process. Several numerical examples and simulations are worked out to demonstrate the effectiveness of the proposed design technique.

关键词： control systems Networked control systems Switched systems Sufficient conditions Optimal control Delay effects Communication system control Communication system traffic control Feedback control Electrical equipment industry

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Automatic route tracking of smartcar based on fuzzy control

Automatic route tracking of smartcar based on fuzzy control

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World Congress on intelligent control and Automation (WCICA)

作者： Guiyou Chen Zhenhua Li Ping Yang School of Control Science and Engineering Shandong University Jinan Shandong China Key Laboratory of Complex System and Intelligent Sciences Institute of Automation Chinese Academy of Sciences Chinese Academy of Sciences Beijing China

The principle of fuzzy control and its application in automatic route tracking of smartcar are presented in the paper. The fuzzy controller is established to control the steering servo motor of the smartcar. Simulation of the designed controller based on MATLAB fuzzy logical toolbox is proposed. And the fuzzy controller is realized using freescale fuzzy inference machine. It is successfully applied in the automatic route tracking. The hardware design of the smartcar introduced. Then, the process of establishing the fuzzy controller is described in detail, including the choice of fuzzy input and output variables, linguistic values, domain, input and output membership functions, rule base, fuzzification, rule inference, defuzzification. The validity of the designed controller is verified by MATLAB simulation and actual operating results.

关键词： Fuzzy control Microcontrollers control systems DC motors Servomotors MATLAB Mathematical model

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complex Fault Tree Analysis Based on BDD Route-based Rules

Complex Fault Tree Analysis Based on BDD Route-based Rules

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7th World Congress on intelligent control and Automation (WCICA 2008), vol.7

作者： Lin Zhu Jie Chen Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China Department of Automatic control School of Information Science and Technology Beijing Institute of Technology Beijing China

Since traditional methods was limited in terms of accuracy of the solutions and the processing time required when dealing with large-scale complex fault tree (CFT), a new method for CFT analysis based on Binary decision Diagram (BDD) was introduced in this paper. Firstly, FT was decomposed by the proposed rule, Share-node CBDD connection rules were proposed to reduce the size of the intermediate BDD. Furthermore route-based BDD reduction rule was proposed and proved, with which intermediate BDD was reduction. The route sequence and cut sets can be gotten at the same time of BDD composition for FT analysis. Processing time and computational & storage complexity is greatly reduced by the proposed method. Finally, with an example the procedure of the proposed method is presented. The affectivity and practicability is also proved.

关键词： Fault Tree Binary decision Diagram Cut set Reduction rules

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Optimization design and accuracy assignment of a typical complex system

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Xitong Gongcheng Lilun yu Shijian/system Engineering Theory and Practice 2008年第SUPPL.期28卷 157-162页

作者： Chen, Jie Dou, Li-Hua Zhang, Jia Automatic Department of Information Science Technology Academy Beijing Institute of Technology Beijing 100081 China Significant Laboratory of Complex System Intelligent Control and Decision-making Beijing Institute of Technology Beijing 100081 China

The paper first discusses the complexity of system and the necessity of complexity research. Aimed at a typical complex weapon equipment fire control system, the paper carries on optimization design according to its complexity. It proposes collectivity optimization assignment structure of complex weapon equipment system. The paper carries on deep research of accuracy assignment. The method combines the advantage of experience and model method and offsets their defects. Therefore, it solves the accuracy assignment of complex weapon system effectively and consummately.

关键词： Fire control systems

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Speed sensorless control with neuron MRAS estimator of an induction machine

Speed sensorless control with neuron MRAS estimator of an in...

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7th International Conference on Power Electronics and Drive systems, PEDS 2007

作者： Lei, Dong Dong, Yang Xiaozhong, Liao Department of Automatic Control Engineering Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China

ISBN: (纸本)1424406455

In the high speed range, vector control of rotor flux orientation of an induction machine implements good performance. However, the performance in low speed rang deteriorates because of the inaccurate estimation of rotor flux and speed. In this paper, modified voltage model for rotor flux estimation and neuron model-reference adaptive system (MRAS) for speed estimation are used to improve the performance of speed sensorless vector control. To improve the accuracy of rotor flux estimation, the stator resistance is identified on-line. The experimental results show that the proposed scheme yields improved performance in low speed range. © 2007 IEEE.

关键词： Induction machine

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Prediction of wind power generation based on chaotic phase space reconstruction models

Prediction of wind power generation based on chaotic phase s...

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7th International Conference on Power Electronics and Drive systems, PEDS 2007

作者： Lei, Dong Lijie, Wang Shi, Hu Shuang, Gao Xiaozhong, Liao Department of Automatic Control Beijing Institute of Technology China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education China Chu Kochen Honors College Zhejiang University China

ISBN: (纸本)1424406455

The development of wind generation has rapidly progressed over the last decade, but it must be integrated into power grids and electric utility systems. However, it cannot be dispatched like conventional generators because the pover generated by the wind changes rapidly because of the continuous fluctuation of wind speed and direction. So it is very important to predict the wind power generation. This paper discusses why the wind power generation can be predicted in short-term, and how to setup the construction of an ANN (Artificial Neural Network) prediction model of wind power based on chaotic time series. The analysis of modeling with low dimensions nonlinear dynamics indicates that time series of wind power generation have chaotic characteristics, and wind power can be predicted in short-term. Phase space reconstruction method can be used for ANN model design. The data from the wind farm located in the Saihanba China are used for this study. © 2007 IEEE.

关键词： Electric utilities

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High precision test method and apparatus for photoelectric encoder

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Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology 2007年第11期27卷 977-980+1008页

作者： Deng, Fang Chen, Jie Chen, Wen-Jie Chi, Cheng Department of Automatic Control School of Information Science and Technology Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision School of Information Science and Technology Beijing Institute of Technology Beijing 100081 China

A new method and apparatus is proposed to improve the precision and reduce the cost of photoelectric encoder measurements. The method is based on highest resolution measurement and completely statistical analysis. The system includes a stepping motor, a high precision worm reduction gear, a high speed single chip microcomputer, a low cost incremental optical electric encoder and some multi interfaces of communication protocols. The single chip microcomputer as the lower system can test and collect the optical electric encoder. The PC computer as host-computer can deal with the test data. The precision of the system can reach 18 binary digits. Results of application in practice showed that the method and apparatus is efficient and effective, the cost of the apparatus is less than the some kind of system.

关键词： Photoelectric devices

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Robotic dynamic target recognition and tracking based on the monocular vision

Robotic dynamic target recognition and tracking based on the...

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26th Chinese control Conference, CCC 2007

作者： Lei, Liu Yongji, Wang Huazhong University of Science and Technology Intelligent and Complex System Laboratory Key Laboratory of Image Processing and Intelligent Control Ministry of Education

ISBN: (纸本)7900719229

Gather the information of the environment by the monocular vision. Using the H and S weight of the HSV color model, separate the target from the environment with a certain color, by a fast clustering algorithm for two-value image segmentation. Calculating the distance between the camera and target by the 3D reconstruction algorithm and sub-control strategy, and raise its veracity by laser information fusion. Furthermore, a vision servo system has been designed and utilized to achieve the robot's dynamic track. At last, some experiments were used to certification its availability.

关键词： Robot applications

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Backlash neural network model for hysteresis nonlinearity

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Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology 2007年第SUPPL. 1期27卷 226-230页

作者： Liao, Xiao-Zhong Lu, Guo-Hui Liu, Xiang-Dong Department of Automatic Control School of Information Science and Technology Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing 100081 China

A Backlash neural network model is proposed for the systems with hysteresis nonlinearity. In order to approximate the hysteresis nonlinearity, Backlash-type operators are used as one layer of the neural network. Then, the number of Backlash operators and neurons of hidden layer are gotten through simulation. Compared with the normal BP network, the results show the improvement validity of the proposed Backlash neural network model for describing the hysteresis nonlinearity.

关键词： Nonlinear network analysis

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