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检索条件"机构=Key Laboratory of Measurement and Control of complex Systems of Engineering"

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Fitting a Functional Structural Plant Model based on Global Sensitivity Analysis

Fitting a Functional Structural Plant Model based on Global ...

引用

IEEE International Conference on Automation Science and engineering

作者： Yubin LIN Mengzhen KANG Jing HUA National Key Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781467304290

Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial parameter values. This motivated the use of global sensitivity analysis technique to choose parameter subset in fitting the data sequence. Global sensitivity indices were computed using the source sink ratio as the output of interest, which regulates all organ growth. By fitting on chrysanthemum data from nine sampling dates, it is shown that sensitivity analysts method helps to identify the influential parameters for a given sampling date. As a result, fitting process is less dependent on the initial parameter values. Current work provides a new method of calibrating a plant growth model with multiple outputs.

关键词： Sensitivity analysis plant models organ growth MACHINE SHOP PRACTICE

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Improved particle filter for object tracking

Improved particle filter for object tracking

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作者： Zhang, Tao Fei, Shu-Min College of Automation Electronic Engineering Qingdao University of Sciences and Technology Qingdao China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China

ISBN: (纸本)9781424487363

Robust real-time tracking of non-rigid objects is a challenging task. Color is a powerful feature for tracking deformable objects in image sequences with complex backgrounds. Color distribution is applied, as it is robust to partial occlusion, is rotation and scale invariant and computationally efficient. Particle filter has been proven very successful for non-linear and non-Gaussian estimation tracking problems. The article presents the integration of color distributions into particle filtering. A target is tracked with a particle filter by comparing its histogram with the histograms of the sample positions using the Bhattacharyya distance. Additionally, to solve the sample impoverishment (all particles collapse to a single point within a few iterations) in the particle-filter algorithm, a new resampling algorithm is proposed to tackle sample impoverishment. The performance of the proposed filter is evaluated qualitatively on various real-world video sequences. The experimental results show that the improved color-based particle filter algorithm can reduce sample impoverishment effectively and track the moving object very well. © 2011 IEEE.

关键词： Color

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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...

引用

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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Parallel Rail Transit system based on ACP approach

Parallel Rail Transit system based on ACP approach

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World Congress on Intelligent control and Automation (WCICA)

作者： X.-S. Dong Gang Xiong Dong Fan Y.-S. Lv X.-B. Sun State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Electronics and Information Engineering Beijing Jiaotong University Beijing China

ISBN: (纸本)9781467313971

This paper presents a novel parallel system for Rail Transit based on ACP approach (Artificial systems, Computational experiments, Parallel execution), which is proposed to address issues on safety, efficiency and reliability of their operation and optimization. Firstly, the construction of dynamic, overall and real Artificial Rail Transit systems and their demonstration are provided. Then, based on these systems, the platform, content and analysis of computational experiments and comprehensive evaluation system are researched. Finally, parallel control and management of the actual systems via parallel execution can be achieved. By Parallel Rail Transit systems, a set of recommendations and strategies of railway can be formed, which would improve the overall functionality of the trail transit system.

关键词： Rails Automation Intelligent control Laboratories control systems Educational institutions Computational efficiency

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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...

引用

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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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 ...

引用

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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Exploiting mobility for data collection in Wireless Sensor Networks with delay reduction

Exploiting mobility for data collection in Wireless Sensor N...

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Chinese control Conference (CCC)

作者： Chun Zhang Shumin Fei Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China

To design an energy efficient data collection scheme instead of multi-hop data relay is essential for Wireless Sensor Networks. To many proposed data gathering approaches, the long data delay is the main problem. In this paper, mobile collectors are introduced in a sensor network and a data collection mechanism is proposed. To organize sensors into three-level clusters, an energy efficient clustering algorithm is proposed. The collection strategy is based on the hierarchical structure and consists of two rules to schedule mobile collectors reasonably. Simulation results demonstrate that the data collection scheme effectively reduces the energy consumption and decrease the data delay.

关键词： Delay Wireless sensor networks Mobile communication Clustering algorithms System-on-a-chip Mobile computing Energy consumption

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