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2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011

作者： Huang, Yanlong Fang, Zaojun Xu, De Tan, Min Xia, Lan State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Laboratory of Shanghai Institute of Laser and Plasma Chinese Academy of Engineering Physics Shanghai China

ISBN: (纸本)9781424481149

The far-field intensity is detected from far-field image to estimate the piston distance between two gratings. The image processing algorithm includes projections along the horizontal and vertical directions, search for each focal spot's centre, feature extraction and intensity computation. Each focal spot's centre can be found with the projections. A self-growing method is used for feature extraction, where the threshold value depends on the gray value of each focal spot's centre. For each focal spot, the sum of gray values within the relevant domain is taken to be its energy intensity. Furthermore, the energy ratio of left and main focal spots (or main and right focal spots) is computed. A formula that expresses the piston distance between two gratings as the function of the energy ratio is fitted with several measured points. Based on this formula, the piston distance is obtained for a new energy-ratio. Finally, the proposed method is verified with a series of experiments. © 2011 IEEE.

关键词： Image processing

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Matching decision model for self- adaptability of knowledge manufacturing system

Matching decision model for self- adaptability of knowledge ...

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2011 International Conference on Information Science and Technology, ICIST 2011

作者： Wang, Yufang Yan, Hongsen Meng, Xiangang Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing Jiangsu Province 210096 China School of Information and Control Engineering Nanjing University of Information Science and Technology Nanjing Jiangsu Province 210044 China

ISBN: (纸本)9781424494408

Knowledge manufacturing system has the ability of modifying dynamically manufacturing mode rapidly when production environment factors change. It is essential to evaluate the matching degree of established manufacturing mode and changed production environment factors. In this paper, a matching decision model for self-adaptability of knowledge manufacturing system based on the fuzzy neural network is proposed. The changed production environment factors are regarded as linguistic variable inputs. A modified momentum factor B-P algorithm consisting of information feed-forward process and the error back-propagation process is used. The proposed FNN model is employed to evaluate the matching degree of a car-lamp production manufacturing mode to variable environment units. Matching result indicates adaptive degree of manufacturing system. Experiment result demonstrates the method is effective. © 2011 IEEE.

关键词： Manufacture

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H∞ robust control of direct-drive permanent magnetic synchronous generator considering the uncertainty of stator parameters

H∞ robust control of direct-drive permanent magnetic synchr...

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作者： Zu, Hui Zhang, Guo-Bao Fei, Shu-Min Wei, Zi-Cong Zhu, Hai-Rong School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Ministry of Education Nanjing 210096 China

ISBN: (纸本)9789881725592

The robust control issues of direct-drive permanent magnet synchronous generator (DD-PMSG) are discussed, in which the variation of stator resistances and inductance are considered. The speed loop of DD-PMSG is a linear system with several ways of disturbance inputs, so the H∞ mixed sensitivity control method is applied to eliminate the torque disturbance and measurement noise. The current loop is regarded as an uncertain DESCRIPTOR system and the output-feedback H∞ robust control algorithm for the uncertain DESCRIPTOR system is proposed. Linear matrix inequalities (LMI) is adopted to prove the sufficient conditions of descriptor system quadratic stability and satisfying the H∞ robust performances, and then an output feedback controller is presented. Simulation results show that comparing with PI controller and the standard H∞ method designed controller, the proposed controller has better response and control accuracy, the inhibition of disturbance input and parameter uncertainty has better robustness than the PI controller, and less conservative than the standard H∞ controller. © 2011 Chinese Assoc of Automati.

关键词： Linear matrix inequalities

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Stability analysis on discrete-time Cohen-Grossberg neural networks with bounded distributed delay

Stability analysis on discrete-time Cohen-Grossberg neural n...

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作者： Li, Tao Wang, Ting Fei, Shumin School of Electronic Engineering and Automation Henan Polytechnic University Jiaozuo 454000 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China

ISBN: (纸本)9789881725592

This paper investigates the asymptotical stability for discrete-time Cohen-Grossberg neural networks with both timevarying and distributed delays. By constructing a novel Lyapunov-Krasovskii functional and introducing some free-weighting matrices, one delay-dependent sufficient condition is obtained by using convex combination. The criterion is presented in terms of LMIs and the feasibility can be easily checked with the help of LMI in Matlab Toolbox. In addition, the activation function can be described more generally, which generalizes those earlier methods. Finally, the effectiveness of obtained results can be further illustrated by one numerical example in comparison with the existent ones. © 2011 Chinese Assoc of Automation.

关键词： Lyapunov functions

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Delay-Derivative-Dependent Synchronization for Coupled Lur'e System with Time-Delay and Nonlinear Couplings

Delay-Derivative-Dependent Synchronization for Coupled Lur'e...

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2011 China control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Tao Li Ting Wang Shumin Fei School of Electronic Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationS Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

This paper deals with global synchronization in arrays of coupled delayed Lur’e systems with nonlinear couplings, in which the interval variable delay is treated. Together with Krasovskii-Lyapunov functional method and Kronecker product technique, two novel synchronization criteria are presented in terms of linear matrix inequalities (LMIs) based on generalized convex combination, in which the conditions are heavily dependent on upper and lower bounds of time-delay and delay derivative. Through employing LMI in Matlab Toolbox and adjusting some matrix parameters in the derived results, we can realize the designing and applications of the coupled systems. The effectiveness of the proposed methods can be demonstrated by one numerical example with simulations.

关键词： Lur'e systems global synchronization interval time-varying delay nonlinear coupling LMI approach

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The application and issuse of linear wireless sensor networks

The application and issuse of linear wireless sensor network...

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2011 International Conference on System Science, engineering Design and Manufacturing Informatization, ICSEM 2011

作者： Wang, Zhengjie Zhao, Xiaoguang Qian, Xu College of Information and Electrical Engineering Shandong University of Science and Technology Qingdao China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Beijing China

ISBN: (纸本)9781457702471

Wireless sensor networks consist of a large number of sensor nodes that have low power and limited transmission range and can be used in various scenario. The nodes can be deployed in the long and narrow region, such as road, bridge, tunnel and pipeline, to get some interesting information. The linear topology of these network application is different other application and have special feature, such as multi-hop, long delay, long distance and low reliability. This paper introduces the concept of linear wireless sensor networks and discusses the classification of topology and key issue of this network. The application of the linear wireless sensor network, such as road, bridge, tunnel and pipeline is presented. The research challenges are discussed at last in this paper. © 2011 IEEE.

关键词： Topology

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Forecasting product design time based on Gaussian margin regression

Forecasting product design time based on Gaussian margin reg...

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IEEE 2011 10th International Conference on Electronic measurement and Instruments, ICEMI 2011

作者： Shang, Zhigen Yan, Hongsen School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China Department of Automation Yancheng Institute of Technology Yancheng 224003 China

ISBN: (纸本)9781424481590

In order to obtain a forecast model for product design time from a small data set, Gaussian Margin Regression (GMR) is presented on the basis of combining Gaussian Margin Machines and kernel based regression. Gaussian Margin Regression maintains a Gaussian distribution over weight vectors for kernel based regression. The algorithm is applied to seeking the least information distribution that will make actual value be included in the confidential interval with high probability, and embedded genetic algorithm is presented for choosing its relevant parameters. The results of application in injection mold designs reveal that the time forecast model based on GMR is of feasibility and validity. © 2011 IEEE.

关键词： Product design

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Design of communication interface for M2M-based positioning and monitoring system

Design of communication interface for M2M-based positioning ...

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International Conference on Electronics, Communications and control (ICECC)

作者： Yanlan Yang Hua Ye Shumin Fei Key Laboratory of Measurement and Control of Complex Systems of Engineering of Ministry of Education Southeast University Nanjing China

The idea of M2M platform proposes a completely new system architecture for positioning and monitoring applications with wider coverage and higher communication efficiency. With the comparison of the original communication mode to the M2M- based one, the communication interface is changed in the new communication solution for the application side accessing to the platform, which is finally designed into two parts according to the interface specification for M2M platform. The one is the local web service which provides methods for the platform to transmit data from the terminal side, and the other is the communication service software developed based on the SDK package from the M2M platform. This interface has been implemented into an actual application for the construction machinery monitoring, and the communication work between the terminals and the control center through M2M platform performs efficiently and reliably.

关键词： Monitoring Web services Data communication Global Positioning System Ground penetrating radar Protocols Reliability

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A reinforcement learning based tag recommendation

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作者： Ge, Feng He, Yi Liu, Jin Lv, Xiaoming Zhang, Wensheng Li, Yiqun State Key Laboratory of Software Engineering Computer School Wuhan University 430072 China Logistics Group Wuhan University 430072 China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Baidu Inc. 100085 China

ISBN: (纸本)9783642256578

This paper proposes a reinforcement learning based tag recommendation algorithm to deal with the data sparseness that affects the performance stability of collaborative filtering algorithms. Our algorithm integrates user tags into traditional collaborative filtering algorithms and attaching importance to user interest shift in the process of user interest learning process. Empirical Cases of comparing with traditional collaborative filtering algorithms indicate that our recommend algorithm exhibits better performance competition. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Reinforcement learning

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Finite-time attitude stabilization for a rigid spacecraft using homogeneous method

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IFAC Proceedings Volumes 2011年第1期44卷 2620-2625页

作者： Haibo Du Shihua Li School of Automation Southeast University Nanjing 210096 P.R.China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

Abstract This paper investigates the finite-time attitude stabilization problem for a rigid spacecraft with an unknown inertia matrix. By using homogeneous approach, a local continuous finite-time controller is first designed such that the attitude can be stabilized to the equilibrium in finite time. Then, to solve global attitude stabilization problem, a modified finite-time controller is proposed. Rigorous proof shows that the attitude can be stabilized to the equilibrium in finite time. Finally, a simulation example is given to demonstrate the efficiency of the proposed method.

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