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Chinese control Conference (CCC)

作者： Ming Zhang Weidong Yang Shaofu Wang Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing P. R. China Laiwu Steel Corporation Laiwu P. R. China

The application of u-synthesis controller based on Quantitative Feedback Theory (QFT) tuning method in hot rolling Automatic Gauge control (AGC) system is delivered in this paper. In the proposed strategy, a renowned dual-perturbation AGC model is presented. To the stiffness uncertainties and nonlinear parts, the integration of optimal control μ-synthesis and manual tuning in the QFT design environment enable controller design with a high level of robust performance and robust stability. QFT's open-loop tuning can be more transparent than closed-loop tuning in industrial field. The simulation results show the combined controller is of better gauge control response and more effective on disturbance attenuation.

关键词： Robustness Tuning Process control Uncertainty Mathematical model Strips control systems

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A Hierarchical Image Annotation Method Based on SVM and Semi-supervised EM

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自动化学报 2010年第7期36卷 960-967页

作者： GAO Yan-Yu YIN Yi-Xin UOZUMI Takashi School of Information Engineering University of Science and Technology Beijing Beijing 100083 P.R.China Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing 100083 P. R. China Department of Computer Science and Systems Engineering Muroran Institute of Technology Muroran 050- 8585 Japan

Automatic image annotation, which aims at automatically identifying and then assigning semantic keywords to the meaningful objects in a digital image, is not a very difficult task for human but has been regarded as a difficult and challenging problem to machines. In this paper, we present a hierarchical annotation scheme considering that generally human s visual identification to a scenery object is a rough-to-fine hierarchical process. First, the input image is segmented into multiple regions and each segmented region is roughly labeled with a general keyword using the multi-classification support vector machine. Since the results of rough annotation affect fine annotation directly, we construct the statistical contextual relationship to revise the improper labels and improve the accuracy of rough annotation. To obtain reasonable fine annotation for those roughly classified regions, we propose an active semi-supervised expectation-maximization algorithm, which can not only find the representative pattern of each fine class but also classify the roughly labeled regions into corresponded fine classes. Finally, the contextual relationship is applied again to revise the improper fine labels. To illustrate the effectiveness of the presented approaches, a prototype image annotation system is developed, the preliminary results of which showed that the hierarchical annotation scheme is effective.

关键词：数字图像自动化系统准确性意义图像标注

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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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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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Intelligent sliding mode control of nonlinear systems based on cloud models

Intelligent sliding mode control of nonlinear systems based ...

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作者： Sun, Qu Wang, Yongyu School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control for Iron and Steel Process Ministry of Education Beijing 100083 China Century College University of Beijing Post and Telecommunication Beijing 100876 China

ISBN: (纸本)9787894631046

In order to overcome the drawbacks in the sliding-mode controller and the cloud controller, a novel intelligent sliding-mode controller is studied, which combines the two controllers for the first time. A sliding-mode controller based on cloud models, which consists of an equivalent controller and a cloud controller, is proposed for nonlinear systems with system uncertainties and external disturbances. The cloud controller, with the sliding-mode function as its input, is used to replace the discontinuous switch control part to alleviate the chattering phenomenon effectively. The stability of close-loop control system is guaranteed using Lyapunov stability theory. Finallythe designed sliding-mode controller is used to control the Genesion chaos system, and the simulation results demonstrated the feasibility and robustness of the method.

关键词： controllers

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Multi-objective load distribution of hot strip mills based on multi-swarm and sub-objective differential evolution

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2010年第11期32卷 1506-1512页

作者： Yao, Feng Yang, Wei-Dong Zhang, Ming School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory for Advanced Control of Iron and Steel Process University of Science and Technology Beijing Beijing 100083 China

A differential evolution algorithm based on multi-swarm and sub-objective optimization is presented in order to solve the difficulty in selecting the weighting coefficients in processing the objective function of hot strip mills. Each sub-swarm optimizes a sub-objective and evolves independently. This not only solves the issue of weighting coefficients, but also increases the convergence speed and accuracy. Finally, the algorithm's effectiveness is verified by simulation.

关键词： Multiobjective optimization

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Prediction and control of strip thickness based on Bayesian neural networks

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2010年第2期32卷 256-262页

作者： Peng, Kai-Xiang Yu, Shang-Zhi School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of the Ministry of Education for Advanced Control of Iron and Steel Process University of Science and Technology Beijing Beijing 100083 China

The Bayesian statistical theory was adopted to improve traditional neural network algorithms, and constraints representing network structural complexity were introduced to the network objective function in order to avoid over-fitting the networks and enhance the generalization ability. The improved networks were applied to strip thickness prediction in Jigang 1700mm mill, and the prediction result is superior to that of traditional neural networks in forecasting accuracy, training time and network stability. Then, the Bayesian neural networks were used to predict the plasticity coefficient of strips. Finally, the real-time forecasts of exit thickness and plasticity coefficient of strips were synthetically utilized in the thickness control system of hot strip rolling to improve strip quality further.

关键词： Forecasting

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Multiple model adaptive control of a kind of discrete time nonlinear

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Kongzhi yu Juece/control and Decision 2010年第6期25卷 841-846页

作者： Li, Xiao-Li School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process of Ministry of Education University of Science and Technology Beijing Beijing 100083 China

According to the varying scope of parameters, multiple models are set up for a kind of discrete time nonlinear system, and the corresponding controllers based on these models are given. At every sample time, the best model is selected by using an index switching function based on the estimation error of every model, and the controller based on this model is switched. "Localization" method is used to decrease the computing quantity of multiple model adaptive controller without the loss of control property. It can be proved that the closed-loop system is stable when different controllers are switched each other. Due to the existence of multiple models, the control performance is improved greatly.

关键词： controllers

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Analysis of the valence electronic structures and calculation of the physical properties of Fe,Co,and Ni

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Science China(Physics,Mechanics & Astronomy) 2009年第6期52卷 864-868页

作者： WU WenXia XUE ZhiYong HONG Xing LI XiuMei GUO YongQuan Division of Functional Materials Central Iron and Steel Research InstituteBeijing 100081China North China Electric Power University Key Laboratory of Condition Monitoring and Control for Power Plant Equipment Ministry of EducationBeijing 102206China Advanced Technology&Materials Co. Ltd.Amorphous Products BranchBeijing 100081China

The valence electronic structures of Fe, Co and Ni have been investigated with Empirical Electron Theory of Solids and Molecules. The magnetic moments, Curie temperature, cohesive energy and melting point have been calculated according to the valence electronic structure. These calculations fit the experimental data very well. Based on the calculations, the magnetic moments are proportional to the number of 3d magnetic electrons. Curie temperatures are related to the magnetic electrons and the bond lengths between magnetic atoms. Cohesive energies increase with the increase of the number of covalent electrons, and the decrease of the number of magnetic and dumb pair electrons. The melting point is mainly related to the number of covalent electron pairs distributed in the strongest bond. The contribution from the lattice electrons is very small, the dumb pair electrons weaken the melting point; however, the contribution to melting point of the magnetic electrons can be neglected. It reveals that the magnetic and thermal properties are closely related to the valence electronic structures, and the changes or transitions between the electrons obviously affect the physical properties.

关键词： valence electronic structures Curie temperature magnetic moment cohesive energy melting point

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Interval T-S Fuzzy Model and Its Application to Identification of Nonlinear Interval Dynamic System based on Interval Data

Interval T-S Fuzzy Model and Its Application to Identificati...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Xu Zhengguang Sun Changping IEEE School of Information Engineering University of Science and Technology Beijing Key Laboratory for Advanced Control of Iron and Steel Process(Ministry of Education) University of Science and Technology Beijing

In this paper,a new fuzzy system model structure-Interval T-S Fuzzy Model（ITSFM） is *** from interval regression analysis,the interval arithmetic is incorporated with classical T-S fuzzy model and the parameters in consequent part of the ITSFM model become to be ***,the outputs of the proposed ITSFM are *** addition,we define fuzzy interval set,center membership function and radius membership function for intervals and an arithmetical operation between a constant interval and a general real *** the proposed ITSFM is applied to identification of nonlinear interval dynamic system based on the measured interval *** results are then presented that indicate the validity and applicability of the proposed ITSFM.

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