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作者： Liu, Xiangbin Hou, Zhongsheng Yao, Bin Su, Hongye Sun, Mingxuan Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 China School of Mechanical Engineering Purdue University West Lafayette IN 47907 United States State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China College of Information Engineering Zhejiang University of Technology Hangzhou 310032 China

ISBN: (纸本)9783902661937

In this paper, a discontinuous projection-based output feedback adaptive robust learning control (OARLC) scheme is constructed for a class of nonlinear systems in a semi-strict feedback form by incorporating an observer and a dynamic normalization signal. Since only output signal is available for measurement, an observer is firstly designed to provide exponentially convergent estimates of the unmeasurable states. Using certain known basis functions to capture the characteristics of unknown general periodic disturbances, the discontinuous projection type adaptation law can then be used to tune the amplitudes of those basis functions on-line to recover the unknown general periodic disturbances asymptotically. The estimation errors due to the unknown initial states, uncompensated disturbances, and the uncertain nonlinearities are also effectively dealt with via certain robust feedback at each step of the proposed OARLC backstepping design. The resulting controller achieves a guaranteed transient and a prescribed final tracking accuracy for output tracking performance. In addition, when the general periodic disturbances fall within the approximation ranges of the periodic basis functions, asymptotic output tracking performance is achieved as well. © 2011 IFAC.

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Modeling and Multi-objective Optimization of Refinery Hydrogen Network

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Chinese Journal of Chemical engineering 2011年第6期19卷 990-998页

作者：焦云强苏宏业廖祖维侯卫锋 State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China State Key Laboratory of Chemical Engineering Department of Chemical and Biological Engineering Zhejiang University Hangzhou 310027 China Zhejiang ＂Supcon Software Co. Ltd. Hangzhou 310053 China

The demand of hydrogen in oil refinery is increasing as market forces and environmental legislation, so hydrogen network management is becoming increasingly important in refineries. Most studies focused on single-objective optimization problem for the hydrogen network, but few account for the multi-objective optimization problem. This paper presents a novel approach for modeling and multi-objective optimization for hydrogen network in refineries. An improved multi-objective optimization model is proposed based on the concept of superstructure. The optimization includes minimization of operating cost and minimization of investment cost of equipment. The proposed methodology for the multi-objective optimization of hydrogen network takes into account flow rate constraints, pressure constraints, purity constraints, impurity constraints, payback period, etc. The method considers all the feasible connections and subjects this to mixed-integer nonlinear programming （MINLP）. A deterministic optimization method is applied to solve this multi-objective optimization problem. Finally, a real case study is intro-duced to illustrate the applicability of the approach.

关键词： refinery multi-objective optimization hydrogen network mixed integer nonlinear programming

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Performance analysis of object tracking algorithm

Performance analysis of object tracking algorithm

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3rd International Conference on Image Analysis and Signal Processing, IASP 2011

作者： Cai, Rongtai Wu, Qingxiang Wang, Ping Zhang, Xuguang Hu, Shuo School of Physics Optics Electronic Science and Technology Fujian Normal University Fuzhou 350108 China Key Lab. of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066000 China

ISBN: (纸本)9781612848808

This paper analyzes the performance of object tracking algorithms. The issues that affect precision in object tracking are analyzed first and how the parameters in tracking algorithms affect the precision in object tracking are introduced. Then, the time complexity of those object-tracking algorithms is discussed. At last, the holistic analysis and evaluation of these object-tacking algorithms are parsed from application range, tracking precision and time complexity. © 2011 IEEE.

关键词： Tracking (position)

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Hardware-based solution of precise time synchronization for Networked control System

Hardware-based solution of precise time synchronization for ...

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International Conference on Electronics, Communications and control (ICECC)

作者： Wenjun Huang Yuan Jin Weimin Wang Yiming Shi Yun Zhou State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou China Department of Control Science and Engineering Zhejiang University Hangzhou China

A hardware-based solution of precise time synchronization over Ethernet was proposed for Networked control System (NCS). Using Field-programmable Gate Array (FPGA), hardware-based solution was designed for implementing time synchronization protocol defined in IEEE 1588. Timestamp capture, oscillator frequency compensation, time synchronization and etc., were all coded with Very High Speed Integrated Circuit Hardware Description Language (VHDL). Based on Kalman filter, time synchronization arithmetic was optimized to enhance the accuracy. The test results show that time accuracy reaches to sub-microsecond range, and the solution which makes system time synchronization easily is flexible and scalable for NCS and instruments.

关键词： Synchronization Field programmable gate arrays Oscillators Accuracy Radiation detectors Delay Kalman filters

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A hybrid approach for robust corner matching

A hybrid approach for robust corner matching

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2010 International Conference on Robotic Welding, Intelligence and Automation, RWIA'2010

作者： Shi, Fanhuai Huang, Xixia Duan, Ye Welding Engineering Institute Shanghai Jiao Tong University China Marine Technology and Control Engineering Key Lab Shanghai Maritime University China Computer Science Department University of Missouri-Columbia United States

ISBN: (纸本)9783642199585

Robust and high accuracy corner matching plays an essential role in many applications in computer vision such as camera calibration, 3D reconstruction and robot localization. In this paper, we describe a hybrid approach that can automatically detect and match image corners with high accuracy. Our approach is based on SIFT structure information and sub-pixel Harris corner localization, which is rotation invariant and is localized directly on true image corners detected by the enhanced curvature scale space method. Experimental results show that the proposed method offers an effective solution to automatic robust corner matching. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Image enhancement

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The error analysis of the tack measurement for non-Newtonian fluid based on the inkometer

The error analysis of the tack measurement for non-Newtonian...

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作者： Yuan, Ye Ding, Fan Man, Jun Li, Qipeng Da, Jing State Key Lab of Fluid Power Transmission and Control Zhejiang University Hangzhou 310027 China School of Mechanical and Automotive Engineering Zhejiang University of Science and Technology Hangzhou 310023 China Department of Watercraft Engineering Zhenjiang Watercraft College 212003 Jiangsu China

This paper presents the error analysis of the tack measurement for non-Newtonian fluid based on the inkometer. Offset inks are taken as the analysis object, and a force analysis model is established to analyze the remarkable influence of the surplus force on the sensitivity and the precision of the tack measurement of offset inks. Experimental and theoretical analyses are carried out and are in good agreement. The results show that the measuring angle and the resisting torque of the roll bearing in the measurement roller have primary influences on the surplus force. Corresponding approaches to improve the sensitivity and the precision of the tack measurement are proposed. © 2011 IOP Publishing Ltd.

关键词： Error analysis

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Output error method for identification of multiple-model process with transition

Output error method for identification of multiple-model pro...

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作者： Zhao, Yu Huang, Biao Su, Hongye Chu, Jian State Key Lab. of Industrial Control Technology Institute of Cyber Systems and Control Zhejiang University Hangzhou 310027 China University of Alberta Canada Department of Chemical and Materials Engineering University of Alberta Edmonton AB T6G 2G6 Canada

This paper is concerned with the identification of multiple model process with transition using the output error (OE) method. Local multiple linear models with output error model structure are identified at fixed operating points first and then a global nonlinear model is approximated by interpolating the multiple linear models with exponential weighting functions. With all the obtained initial values of the system's parameters, nonlinear optimization strategy is implemented to find the optimal values of the parameters for both the local multiple models and their corresponding weighting functions. Finally a more accurate global model can be obtained. The effectiveness of the proposed approach is demonstrated through simulation examples. © 2011 Zhejiang University.

关键词： Errors

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NN/RISE-based asymptotic tracking control of uncertain nonlinear systems

NN/RISE-based asymptotic tracking control of uncertain nonli...

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IEEE International Symposium on Intelligent control (ISIC)

作者： Qinmin Yang S. Jagannathan Youxian Sun State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou Zhejiang China Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO USA

This paper presents a novel control methodology for the tracking control of a high-order continuous time nonlinear systems with unknown dynamics and external disturbance. The control signal consists of the robust integral of the sign of the error (RISE) feedback signal multiplied with an adaptive gain plus neural network (NN) output. The two-layer NN learns the system dynamics in an online manner while residual reconstruction errors and the external bounded system disturbances are overcome by the RISE signal. Semi-global asymptotic tracking performance is theoretically guaranteed by using the Lyapunov standard method, while the NN weights and all other signals are shown to be bounded. Further, simulations results are present to illustrate the control performance.

关键词： Artificial neural networks Approximation methods Asymptotic stability Nonlinear systems Trajectory Stability analysis Robustness

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A single port dipole for UHF RFID tag antennas with eliminated read-orientation sensitivity

A single port dipole for UHF RFID tag antennas with eliminat...

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International Conference on Consumer Electronics, Communications and Networks

作者： Chunfang Qin Lingfei Mo Hongliang Zhou Hongjian Zhang College of Physics and Electronic Engineering Guangxi University for Nationalities Nanning China State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering Zhejiang University Hangzhou China

In this paper, a passive UHF RFID tag antenna of planar circular-loop single port dipole is designed. The alteration of external circular-loop geometrical parameters can eliminate the read-orientation sensitivity of the tag antenna with ease. An inductively coupled feed method was adopted to facilitate impedance matching of the proposed antenna. The measured results are in good agreement with the simulated ones. It showed that the tag possesses the normalized gain deviation of less than 2.5 dB in E and H planes at the frequency of 915 MHz. The measured maximum reading range between the tag and the reader falls in 2.4 m ~ 2.9 m, depending on the rotation angle of the tag in 902 MHz ~ 928 MHz.

关键词： Antenna measurements Dipole antennas Impedance Radiofrequency identification Antenna radiation patterns Feeds

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Improved two-dimensional dynamic batch process monitoring with support vector data description

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IFAC Proceedings Volumes 2011年第1期44卷 13133-13138页

作者： Zhiqiang Ge Furong Gao Zhihuan Song State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 Zhejiang P. R. China Department of Chemical and Biomolecular engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong SAR

Abstract For dynamic batch process monitoring, a two-dimensional dynamic modeling framework has recently been formulated, which is based on a two-dimensional autoregressive model and the principal component analysis (PCA) method. Different from traditional dynamic batch process monitoring, the two-dimensional method can monitor both within batch and batch-to-batch dynamic information of the process data. However, this PCA-related method has two main restrictions, which may render poor monitoring performance in practice. First, it is under the assumption that the distribution of the process data is Gaussian. Second, the correlations between different process variables are assumed to be linear with each other. Unfortunately, both of these two assumptions are difficult to satisfy in batch processes. In this paper, support vector data description (SVDD) is incorporated into the two-dimensional modeling framework, which has no Gaussian limitation of the data, and can also model the nonlinear relationship between process variables. For dynamic batch process monitoring, a distance based statistic is proposed. Based on results of a simulation case study, the monitoring performance has been improved.

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