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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Lei-Ming Liu Shu-Hua Yang Chao-Nan Tong School of Automation & Electrical Engineering University of Science and Technology Beijing Beijing China Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing China

ISBN: (纸本)9781479902590

The model of NCS (Networked control Systems) with output feedback controller is presented for the case when the network- induced random time-varying delays are bounded and the upper bound of which is longer than one sampling period. Thus we established a discrete-time jump system model with Markov delay. Based on this, this paper gives the optimization method to design stabilizing controllers. This paper generalizes previous results on delay-less output feedback control systems and state feedback systems with Markov time delay. Theoretical analysis and simulation on a two input two output system with Markov time delay show that the output feedback controller we proposed can make the system stable.

关键词： Analytical models Output feedback Abstracts Barium Optimization

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Model Reduction of Two-Dimensional Discrete-time Systems Based on Finite-Frequency Approach

Model Reduction of Two-Dimensional Discrete-time Systems Bas...

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第三十二届中国控制会议

作者： Da-Wei Ding Xiaoli Li School of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process(Ministry of Education) University of Science and Technology Beijing

ISBN: (纸本)9781479900305

This paper deals with the model reduction problem of two-dimensional(2-D) discrete-time systems described by the Roesser *** from existing fuU-frequency methods,we propose a finite-frequency model reduction method for 2-D Roesser *** the generalized Kalman-Yakubovich-Popov(GKYP) lemma for 2-D systems,sufficient conditions are developed for model reduction of 2-D Roessor systems over low-frequency,and middle-frequency,*** proposed finite-frequency model reduction method can get a better approximation accuracy than the existing full-frequency ones over the finite-frequency *** effectiveness of the proposed method is illustrated by a numerical example.

关键词： Model reduction two-dimensional Roesser systems finite-frequency ranges

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Calculation and Analysis of Temperature Distribution in Hot Rolling Strip

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Telkomnika - Indonesian Journal of Electrical Engineering 2013年第7期11卷 3945-3956页

作者： Peng, Kaixiang Key Laboratory for Advanced Control of Iron and Steel Process School of Automation and Electrical Engineering University of Science and Technology of Beijing No. 30 Xueyuan Road Haidian District Beijing 100083 China

Modern steel grades require constant and reproducible production conditions both in the hot strip mill and in the cooling section to achieve constant material properties along the entire strip length and from strip to strip. Calculation of the temperature in final rolling process always utilizes factors such as the work piece's inner organizational structure, plastic deformation, and it's variations of properties and so on, also as well as the physical parameters such as gauge, shape, etc. In this paper, a finite element model is constructed for the temperature field in a rolling *** temperature field of strip steel is modeled with a 3-D finite element analysis (FEA) structure, simultaneously considering the distribution of thework roll temperature. Then the distribution of field is simulated numerically. From the model, the temperature contours can be obtained by analysis of the temperature distribution of contact area. At the same time, the distribution of temperature in any position at any time can be acquired. These efforts provide the reliable parameters for the later finishing temperature and shape control. © 2013 Universitas Ahmad Dahlan.

关键词： Hot rolling

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PDBSCAN: Parallel DBSCAN for Large-Scale Clustering Applications

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Journal of Donghua University(English Edition) 2012年第1期29卷 76-79页

作者：谢永红马延辉周芳刘颖安 School of Computer and Communication 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

Density-based algorithm for discovering clusters in large spatial databases with noise(DBSCAN) is a classic kind of density-based spatial clustering algorithm and is widely applied in several aspects due to good performance in capturing arbitrary shapes and detecting outliers. However, in practice, datasets are always too massive to fit the serial DBSCAN. And a new parallel algorithm-Parallel DBSCAN(PDBSCAN) was proposed to solve the problem which DBSCAN faced. The proposed parallel algorithm bases on MapReduce mechanism. The usage of parallel mechanism in the algorithm focuses on region query and candidate queue processing which needed substantive computation resources. As a result, PDBSCAN is scalable for large-scale dataset clustering and is extremely suitable for applications in E-Commence, especially for recommendation.

关键词： parallel DBSCAN clustering MapReduce large-scale applications

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Nonlinear modeling and global sliding mode control of main drive system torsional vibration in cold rollling mill

Nonlinear modeling and global sliding mode control of main d...

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2012 5th International Conference on Intelligent Computation Technology and Automation, ICICTA 2012

作者： Yang, Xu Tong, Chao-Nan Key Laboratory of Advanced Control of Iron and Steel Process School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China

ISBN: (纸本)9780769546377

the torsional vibration model in main drive system of cold rolling mill is built with the consideration of nonlinear stiffness and nonlinear friction coefficient. The global sliding mode controller is designed for rolling mill drive system for rejecting plants with rolling parameters' uncertainties, as well as a better tracking behavior. Simulation results show the validity of the nonlinear model and the strong robustness, good dynamic characteristic of control algorithms. © 2012 IEEE.

关键词： Nonlinear systems

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Computer system for process control based on data-driven

Computer system for process control based on data-driven

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2012 IEEE Symposium on Electrical and Electronics Engineering, EEESYM 2012

作者： Li, Jiangyun Liu, Yan Tong, Chaonan School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process Beijing China

ISBN: (纸本)9781467323659

It presents a computer control system for process control based on data-driven. The system focuses on process data and is able to deal with the complex problems such as nonlinearity, significant delay, strong coupling and stochastic uncertainty, which are ubiquitous in process control. It adopts both modeling method based on data and learning control theory. The computer control system is composed of PC servers and high performance embedded special controllers. control network adopts fully-distributed automation islands based on industrial Ethernet. So the powerful ability of data process is provided for the system and can satisfy the requirement of modeling and controlling based on data-driven. © 2012 IEEE.

关键词： Computer control systems

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A water flow control method of quenching cooling system based on smith predictor

A water flow control method of quenching cooling system base...

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2012 IEEE Symposium on Electrical and Electronics Engineering, EEESYM 2012

作者： Li, Jiangyun Yao, Yunyun Tong, Chaonan School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process Beijing China

ISBN: (纸本)9781467323659

The computer control system of a steel plant is composed of Siemens S7-400 PLC and configuration software WinCC. In order to achieve real-time control of water flow accurately in quenching process, this paper uses a combination of Smith predictor and PID controller to compensate time delay of system and overcome problems caused by the delay. MATLAB simulation verifies that this method can solve the time delay problem in quenching process, and provide a solution for real-time control of water flow. © 2012 IEEE.

关键词： flow of water

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Prediction of Endpoint Phosphorus Content of Molten steel in BOF Using Weighted K-Means and GMDH Neural Network

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Journal of iron and steel Research International 2012年第1期19卷 11-16页

作者： WANG Hong-bing XU An-jun AI Li-xiang TIAN Nai-yuan School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China Key Laboratory of Advanced Control of Iron and Steel Process of Ministry of Education Beijing 100083China School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China

The hybrid method composed of clustering and predicting stages is proposed to predict the endpoint phos- phorus content of molten steel in BOF （Basic Oxygen Furnace）. At the clustering stage, the weighted K-means is performed to generate some clusters with homogeneous data. The weights of factors influencing the target are calcu- lated using EWM （Entropy Weight Method）. At the predicting stage, one GMDH （Group Method of Data Handling） polynomial neural network is built for each cluster. And the predictive results from all the GMDH polynomial neural networks are integrated into a whole to be the result for the hybrid method. The hybrid method, GMDH polnomial neural network and BP neural network are employed for a comparison. The results show that the proposed hybrid method is effective in predicting the endpoint phosphorus content of molten steel in BOF. Furthermore, the hybrid method outperforms BP neural network and GMDH polynomial neural network.

关键词： basic oxygen furnace endpoint phosphorus content K-means neural network GMDH

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Robot visual servo control based on fuzzy adaptive PID

Robot visual servo control based on fuzzy adaptive PID

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2012 International Conference on Systems and Informatics, ICSAI 2012

作者： Dong, Jie Hu, Yu Peng, Kaixiang School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education Beijing 100083 China

ISBN: (纸本)9781467301992

Visual servo control is one of the central issues in the research field of intelligent robot. In order to obtain more effective information from the environment, visual sensor is used in robot control. This paper sets up the suitable model of the robot, with mathematical formulas derivation of visual servo control. Fuzzy adaptive PID is introduced to IBVS, in order to get a better performance. The simulation result shows that control strategy is effective. © 2012 IEEE.

关键词： Intelligent robots

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Modeling and simulation of VRP in wartime using NSGA II

Modeling and simulation of VRP in wartime using NSGA II

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Chinese control and Decision Conference, CCDC

作者： Jiangyun Li Xiaobo Jing Chaonan Tong Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing

Aiming at VRP in modern military logistics, this paper sets up the multi-objective VRP mathematical model of military logistics in wartime. This model is solved by NSGA II, and improves the dependence on the initial population and the deficiency in the practical application from NSGA II, and has improved the population initialization and intersection in NSGA II algorithm by the introduction of Greedy algorithm. The algorithm is realized by Matlab programming and applied by examples. After the simulation is improved, NSGA II is able to solve the multi-objective VRP of military logistics in wartime.

关键词： Vehicles Biological cells Convergence Logistics Optimization Approximation algorithms Heuristic algorithms

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