检索结果-内蒙古大学图书馆

作者： Li, Zairan He, Ting Cao, Luying Wu, Tunhua McCauley, Pamela Balas, Valentina E. Shi, Fuqian Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin China Wenzhou Vocational and Technical College Wenzhou China College of Information and Engineering Wenzhou Medical University Wenzhou325035 China Department of Industrial Engineering and Management Systems University of Central Florida OrlandoFL United States Department of Automation and Applied Informatics Aurel Vlaicu University of Arad Romania

An increasing number of applications require the integration of data from various disciplines, which leads to problems with the fusion of multi-source information. In this paper, a special information structure formalized in terms of three indices (the central presentation, population or scale, and density function) is proposed. Single and mixed Gaussian models are used for single source information and their fusion results, and a parameter estimation method is also introduced. Furthermore, fuzzy similarity computing is developed for solving the fuzzy implications under a Mamdani model and a Gaussian-shaped density function. Finally, an improved rule-based Gaussian-shaped fuzzy control inference system is proposed in combination with a nonlinear conjugate gradient and a Takagi-Sugeno (T-S) model, which demonstrated the effectiveness of the proposed method as compared to other fuzzy inference systems. © 2015 - IOS Press and the authors. All rights reserved.

关键词： Fuzzy control

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Multi-pipeline System Scheduling under Demand Uncertainty

Multi-pipeline System Scheduling under Demand Uncertainty

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第26届中国过程控制会议（CPCC2015）

作者： Wang Jishuai Gu De Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences State Key Lab.of Industrial Control Technology Institute of Cyber-systems and Control Zhejiang University Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University

In this paper, a discrete mathematical approach to solve scheduling of multi-pipeline systems for petroleum products under demand uncertainty is presented. To deal with the uncertainty, the conditional value-at-risk(CVAR) analysis is adopted as a risk measure. Firstly an improved scheduling approach is proposed to model the multi-pipeline system with the consideration of different pipeline segment sizes. The improved formulation is computationally intractable when pipeline segments have distinct capacities. Then the model takes a scenario-based approach to cope with uncertainty in a CVAR framework. Computational results are presented to demonstrate the effectiveness of the proposed approach. All the instances are implemented using CPLEX.

关键词： Multiproduct pipeline Scheduling MILP formulation Pump

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Automatic calibration method of voxel size for cone-beam 3D-CT scanning system

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Chinese Physics C 2014年第4期38卷 69-74页

作者：杨民王晓龙刘义鹏孟凡勇李兴东刘文丽魏东波 School of Mechanical Engineering and Automation Beijing Univ.of Aeronautics and Astronautics Department of Control Science and Engineering Harbin Institute of Technology State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of Sciences National Institute of Metrology

For a cone-beam three-dimensional computed tomography （3D-CT） scanning system, voxel size is an important indicator to guarantee the accuracy of data analysis and feature measurement based on 3D-CT images. Meanwhile, the voxel size changes with the movement of the rotary stage along X-ray direction. In order to realize the automatic calibration of the voxel size, a new and easily-implemented method is proposed. According to this method, several projections of a spherical phantom are captured at different imaging positions and the corresponding voxel size values are calculated by non-linear least-square fitting. Through these interpolation values, a linear equation is obtained that reflects the relationship between the voxel size and the rotary stage translation distance from its nominal zero position. Finally, the linear equation is imported into the calibration module of the 3D-CT scanning system. When the rotary stage is moving along X-ray direction, the accurate value of the voxel size is dynamically exported. The experimental results prove that this method meets the requirements of the actual CT scanning system, and has virtues of easy implementation and high accuracy.

关键词： cone-beam CT voxel size least square fitting automatic calibration

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Motion comparison method combining segmented multi-Joint line graphs with the SIFT matching technique

Motion comparison method combining segmented multi-Joint lin...

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4th International Conference on Frontiers of Manufacturing Science and Measuring Technology, ICFMM 2014

作者： Zeng, Ming Ren, Hong Lin Meng, Qing Hao Chen, Chang Wei Ma, Shu Gen Tianjin Key Laboratory of Process Measurement and Control Institute of Robotics and Autonomous Systems School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China

ISBN: (纸本)9783038351924

In this paper, an effective motion comparison method based on segmented multi-joint line graphs combined with the SIFT feature matching method is proposed. Firstly, the multi-joint 3D motion data are captured using the Kinect. Secondly, 3D motion data are normalized and distortion data are removed. Therefore, a 2D line graph can be obtained. Next, SIFT features of the 2D motion line graph are extracted. Finally, the line graphs are divided into several regions and then the comparison results can be calculated based on SIFT matching ratios between the tutor's local line graph and the trainee's local line graph. The experimental results show that the proposed method not only can easily deal with the several challenge problems in motion analysis, e.g., the problem of different rhythm of motions, the problem of a large amount of data, but also can provide detailed error correction cues. © (2014) Trans Tech Publications, Switzerland.

关键词： Motion analysis

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Recurrence characteristics analysis of near-Surface wind speed signal with different sampling frequencies

Recurrence characteristics analysis of near-Surface wind spe...

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4th International Conference on Frontiers of Manufacturing Science and Measuring Technology, ICFMM 2014

作者： Zeng, Ming Wu, Zhan Xie Meng, Qing Hao Li, Jing Hai Ma, Shu Gen Tianjin Key Laboratory of Process Measurement and Control Institute of Robotics and Autonomous Systems School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China

ISBN: (纸本)9783038351924

The wind is the main factor to influence the propagation of gas in the atmosphere. Therefore, the wind signal obtained by anemometer will provide us valuable clues for searching gas leakage sources. In this paper, the Recurrence Plot (RP) and Recurrence Quantification Analysis (RQA) are applied to analyze the influence of recurrence characteristics of the wind speed time series under the condition of the same place, the same time period and with the sampling frequency of 1hz, 2hz, 4.2hz, 5hz, 8.3hz, 12.5hz and 16.7hz respectively. Research results show that when the sampling frequency is higher than 5hz, the trends of recurrence nature of different groups are basically unchanged. However, when the sampling frequency is set below 5hz, the original trend of recurrence nature is destroyed, because the recurrence characteristic curves obtained using different sampling frequencies appear cross or overlapping phenomena. The above results indicate that the anemometer will not be able to fully capture the detailed information in wind field when its sampling frequency is lower than 5hz. The recurrence characteristics analysis of the wind speed signals provides an important basis for the optimal selection of anemometer. © (2014) Trans Tech Publications, Switzerland.

关键词： Time series

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Biomechanical analysis of typical upper limb movements based on Kinect-LifeMOD

Biomechanical analysis of typical upper limb movements based...

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4th International Conference on Frontiers of Manufacturing Science and Measuring Technology, ICFMM 2014

作者： Zeng, Ming Chen, Chang Wei Meng, Qing Hao Ren, Hong Lin Ma, Shu Gen Tianjin Key Laboratory of Process Measurement and Control Institute of Robotics and Autonomous Systems School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China

ISBN: (纸本)9783038351924

In traditional biomechanical analysis of upper limb, the high-precision motion data and lifelike human models are needed. It is obvious that those processes are costly and time-consuming. In this paper, a novel and simple combination method based on Kinect-LifeMOD is proposed. Firstly, the Microsoft Kinect (a latest depth sensor) is used to build a cheap and precise motion capture platform. Real-time and reliable key-node rotation data of human skeletons can be acquired by this motion capture system. Next, rotation data is converted into position data as the input of the LifeMOD software which can establish mathematical model of upper limb and execute biomechanical analysis automatically. The experimental results show that the proposed method could achieve the satisfactory performance. © (2014) Trans Tech Publications, Switzerland.

关键词： Biomechanics

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Application of Continous Casting Simulation at Štore Steel—II

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BHM Berg- und Huttenmannische Monatshefte 2014年第3期159卷 99-107页

作者： Šarler, Božidar Vertnik, Robert Lorbiecka, Agnieszka Zuzanna Vušanović, Igor Senčič, Bojan Laboratory for Multiphase Processes University of Nova Gorica Vipavska 13 Nova Gorica5000 Slovenia Laboratory for Simulation of Materials and Processes Institute of Metals and Technology Lepi pot 11 Ljubljana Slovenia Laboratory for Advanced Materials Systems Center of Excellence for Biosensors Automation and Process Control Velika pot 22 Solkan5250 Slovenia Štore Steel d.o.o. Železarska cesta 3 Štore3220 Slovenia Faculty of Mechanical Engineering University of Montenegro George Washington street Podgorica81000 Montenegro Centre of Excellence for Biosensors Automation and Process Control Velika pot 22 Solkan5250 Slovenia

This paper represents the elements and the use of the upgraded simulation system, developed in the last half decade for Štore Steel billet caster. The simulation system is used in the context of the state-of-the-art automation and information of the twenty-five year-old three-strand Concast billet continuous caster for dimensions square 140 and 180 mm with the capacity of 160,000 tons/year. The simulation system is used in the off-line and on-line modes. The off-line mode is used in order to set the proper process parameters and to calculate the temperature field, macrosegregation, and grain structure of the strand. It is also used to calculate the changes in the caster design such as the secondary cooling and the position of the SEN. The on-line model is used in automatic casting control system. The paper represents an update of our BHM publication of 2005 (Application of Continous Casting Simulation at Štore Steel, BHM, Vol. 150, No. 9, 300–306). © 2013, Springer-Verlag Wien.

关键词： Continuous casting

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Optimal Tracking control for a Class of Continuous Time Complex-valued systems Based on Adaptive Dynamic Programming Algorithm

Optimal Tracking Control for a Class of Continuous Time Comp...

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第三十三届中国控制会议

作者： Ruizhuo Song Frank L.Lewis Qinglai Wei Wendong Xiao School of Automation and Electrical Engineering University of Science and Technology Beijing University of Texas at Arlington Research Institute University of Texas at Arlington State Key Laboratory of Synthetical Process Automation Northeastern University The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

ISBN: (纸本)9781479947249

Based on the adaptive dynamic programming(ADP) algorithm,a new optimal tracking control method is proposed for a class of complex-valued nonlinear systems in this *** tracking error is rst de ned,and then the performance index function which is about the tracking error is *** transformation,the complex-valued tracking error system is mapped into *** optimal control method for the tracking error system is *** two neural networks are used to be as the critic network and action network,*** is proven that the closed-loop system is uniformly ultimately bounded based on Lyapunov ***,the simulation study is given to show the effectiveness of the proposed optimal tracking control method for complex-valued nonlinear system.

关键词： Adaptive dynamic programming,optimal control,neural network,complex-valued

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Sensor system for unsteady flow characteristics in a sonic nozzle with vapor condensation

Sensor system for unsteady flow characteristics in a sonic n...

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International Instrumentation and Measurement Technology Conference

作者： Chao Wang Hongbing Ding Yakun Zhao Yong Yan Yonghui hu Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Instrumentation Control and Embedded Systems Group School of Engineering and Digital Arts University of Kent School of Control and Computer Engineering North China Electric Power University

ISBN: (纸本)9781467363846

Experiments on periodic, unsteady compressible flow in a sonic nozzle with heat addition were reported. This unsteady flow is caused by the condensation of water vapor in the sonic nozzle which will affect the flow rate of the sonic nozzle. A dimensional analysis for the essential effect factors of unsteady flow frequency was carried out. An experimental system including a sensor for pressure oscillation monitoring was built. The experimental results agree well with the simulation and semi-empirical formula. Both the sensor and experimental results can be used to further study the effect of unsteady flow due to the condensation of water vapor on the flow rate of the sonic nozzle.

关键词： fast pressure sensor frequency characteristics unsteady flow rate vapor condensation sonic nozzle

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Multirate output feedback control for complex industrial processes in double-layer network environment with RBF performance index

Multirate output feedback control for complex industrial pro...

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World Congress on Intelligent control and automation (WCICA)

作者： Tong Wang Jianbin Qiu Huijun Gao Jialu Fan Tianyou Chai Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China School of Information Bohai University Jinzhou China State Key Laboratory of Synthetical Automation of Process Industries Northeastern University Shenyang China

This paper investigates the output feedback control problem for a class of complex industrial processes in double-layer (upper operation layer and local device layer) network environment with radial basis function (RBF) performance index. First, sampled-data local plants at the device layer with sampling period T d are controlled by local output feedback proportional integral (PI) controllers. Then, the outputs and inputs of local plants are sampled at operation layer with sampling period T u to form the index prediction by using RBF neural networks. In addition, consider the effect of Ethernet between operation and device layer, a Bernoulli random binary distribution is employed to model the packet dropout phenomenon during data transmission. Furthermore, considering the nonlinearity of RBF neural networks, the Lagrange multipliers approach is utilized to solve the real time optimization (RTO) problem at operation layer and an output feedback compensator is designed to regulate the dynamic setpoints. Finally, a rougher flotation process model is employed to demonstrate the effectiveness of the proposed method.

关键词： Indexes process control Optimization Output feedback Symmetric matrices Neurons automation

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