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检索条件"机构=Key Laboratory of Advanced Process Control and Optimization Technology of Ministry of Education"

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Research on industrial modeling of ethylene oxide hydration reactor

Research on industrial modeling of ethylene oxide hydration ...

引用

International Symposium on advanced control of Industrial processes (ADCONIP)

作者： Fan Sun Na Luo Rongbin Qi Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Automatic Institute Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education State-Key Laboratory of Chemical Engineering East China University of Science and Technology Shanghai China

Focusing on ethylene oxide (EO) hydration reactor industrial equipment, the reaction mechanism model is established. Based on the principle of material balance, energy balance and kinetics of the reactions of ethylene oxide with water, partial least squares regression (PLSR) was used in the model to establish a corresponding relationship between the reaction rate constant and the reaction temperature. With kinetic parameters correction by using field data, the results are more tallies with the actual operation. Influences of water/EO molar ratio and inlet temperature on product quality, outlet temperature and energy consumption are analyzed according to the established model. The results showed that the model can preferably reflect the performance of EO hydration reactor and have certain guidance functions to the further advanced control strategies.

关键词： Inductors Mathematical model optimization Laboratories Kinetic theory Equations Production

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Delay-dependent synchronization criteria for delayed chaotic systems with parameter mismatches

Delay-dependent synchronization criteria for delayed chaotic...

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作者： He, Wangli Qian, Feng Han, Qing-Long Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Centre for Intelligent and Networked Systems And School of Information and Communication Technology Central Queensland University Rockhampton 4702 Australia

ISBN: (纸本)9789881725592

This paper investigates synchronization between two delayed chaotic systems with parameter mismatches. Based on Lyapunov functional approach and generalized Halanay inequality, some delay-dependent criteria are derived to guarantee the synchronization error converges to a bounded ball, whose radius, referred to as the error level, is also estimated. Moreover, an optimization algorithm is established for error level estimate, and the feedback matrix design is also addressed. Finally, a chaotic neural network is used to illustrate the effectiveness of the proposed method. © 2011 Chinese Assoc of Automati.

关键词： Synchronization

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Real Time optimization of the Gasoline Blending process with Unscented Kalman Filter

Real Time Optimization of the Gasoline Blending Process with...

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International Conference on Internet Computing and Information Services (ICICIS)

作者： Hui Cheng Weimin Zhong Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

Gasoline blending is a critical process in petroleum refineries. Real-time optimization (RTO) techniques have been popular with the applications for the blending process for optimization purpose. However the dependency of RTO on the measurement of the component impairs its applicability. Therefore how to utilize the blending model and the product measurement to free RTO from the component measurement is the major research topic in this paper. Unscented Kalman Filter, due to its ability to estimate the parameter for nonlinear model, is chosen to estimate component properties based on the product measurement. The RTO strategy is then proposed with the UKF method for the recipe calculation periodically. Furthermore, the proposed RTO is tested with the gasoline blending benchmark problem, while the results are compared with the ideal blending case. The accuracy of the component estimation and the efficiency of the RTO are verified with the results.

关键词： Mathematical model Petroleum optimization Equations Kalman filters Vectors Covariance matrix

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The Research and Implement of Air Quality Monitoring System Based on ZigBee

The Research and Implement of Air Quality Monitoring System ...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Wenhu Wang Yifeng Yuan Zhihao Ling School of Information Science and Engineering East China University of Science and Technology Shanghai China Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education Shanghai China

Health, Safety and Environment management system (HSE) is a general management system of international oil and gas industry. In order to comply with HSE management system, an air quality monitoring system is researched based on ZigBee wireless sensor technology, which is applied in industrial sites. The system includes: detecting terminal, wireless router, wireless gateway, software of field devices and monitoring equipment; the system can measure a variety of gas parameters, such as: CO 2 concentration, CO concentration, air quality level, temperature and humidity; Features of the system have high accuracy, quick sensitivity, wide monitoring range, etc..

关键词： Wireless communication Wireless sensor networks Monitoring Zigbee Logic gates Universal Serial Bus Software

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MPA EEG Model-based Vigilance Level Estimation by Artificial Neural Network

MPA EEG Model-based Vigilance Level Estimation by Artificial...

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2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

作者： Bei Wang Jiesen Wang Xingyu Wang Masatoshi Nakamura Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationSc Research Institute of Systems Control Institute for Advanced Research and Education Saga University

In this paper, the vigilance levels during day time short nap sleep were estimated on the basis of Markov process Amplitude (MPA) EEG model. The ultimate purpose was to adopt the MPA model to discriminate three levels of vigilance through a simple neural network. A set of parameters were firstly calculated based on MPA EEG model. Secondly, correlation analysis was adopted to extract effective parameters to ensure a small amount of inputs of the artificial neural network. The outputs of artificial neural network were the classified three levels: wakeful, drowsy and sleep. The obtained estimation result showed that the accuracy of wakeful was about 90.0％, drowsy 80.0％, and sleep 93.3％.

关键词： MPA EEG model correlation analysis artificial neural network power spectrum

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Notice of Retraction: Research of fractal dimension calculation algorithm based on Mobile Box-Counting Method

Notice of Retraction: Research of fractal dimension calculat...

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International Conference on Natural Computation (ICNC)

作者： Feng-gang Li Wei-feng Gong Ying Li Yu Liang Xiao-lu Wang Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei China

This article has been retracted by the publisher.

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Quantized and networked predictive control for input-saturated systems

Quantized and networked predictive control for input-saturat...

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Chinese control Conference (CCC)

作者： Yuanyuan Zou Bei Chen Tinggang Jia Yugang Niu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

This paper investigates the problem of stabilizing predictive control for constrained systems with quantization and communication delays. Based on the quantization matrix, the input-saturated control systems with logarithmic quantizers are described as constrained control systems with structured norm-bounded uncertainties. A quantized and networked predictive control algorithm is presented by using a multirate delay compensation strategy. It is shown that the proposed predictive controller not only efficiently reduces the negative effects of the quantization and communication delays but also guarantees the closed-loop stability and constraints satisfaction. The simulation example shows the effectiveness of the derived method.

关键词： Delay Predictive control control systems Quantization Stability analysis Uncertainty Prediction algorithms

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Independent innovation capability evaluation and analysis on Wanjiang city-zone

Independent innovation capability evaluation and analysis on...

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2011 International Conference on Computer Science and Service System, CSSS 2011

作者： Zhang, Dengzhou Gao, Yuanyuan Peng, Zhanglin School of Management Hefei University of Technology Hefei China Finance Department of China Electronics Technology Group Corporation Beijing China Institute of Computer Network System Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

ISBN: (纸本)9781424497638

As the capacity of independent innovation is a vital measure standard for the success of a city's construction, the goal of this paper is to analyze and comment it. In order to make the research result more objective and precise, a system of evaluating indicator which includes the ability of innovation input, management, guarantee and output has been established. Moreover, by using the method of Principal Component Analysis, the capacity for independent innovation of nine cities in the Wanjiang city-region is clearly realized. Finally, hoping that this paper would be helpful to the construction of Wanjiang city-region for industrial transfer and provide a policy basis for the macroscopic readjustment and control as well as management. © 2011 IEEE.

关键词： Principal component analysis

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Sensor fault diagnosis based on least squares support vector machine online prediction

Sensor fault diagnosis based on least squares support vector...

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IEEE Conference on Robotics, Automation and Mechatronics

作者： Xu Lishuang Cai Tao Deng Fang School of Automation Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education Beijing Institute of Technology Beijing China

ISBN: (纸本)9781612842523

In order to solve the challenging problem of diagnosis for sensor bias and drift faults, a method of sensor fault diagnosis based on the least squares support vector machine (LS_SVM) online prediction is proposed. In the paper, the real-time outputs of the sensor are made full use to establish LS_SVM prediction model. Through the residual which is obtained by comparing the outputs of LS_SVM prediction model and the actual output of the sensor, the real-time detection of the sensor faults can be achieved. Based on the residual sequence, the on-line identification of sensor bias fault and drift fault can be achieved as well. A model of sensor faults is established by the toolbox of matlab simulink in this paper, the simulation results show that the approach proposed can not only improve the accuracy and time efficiency of fault diagnosis, but also identify the type, size and the time of sensor faults occurred accurately.

关键词： Predictive models Robot sensing systems Support vector machines Fault diagnosis Automation Prediction algorithms Mathematical model

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Target to efficient stimulus presentation sequence for P300 BCI

Target to efficient stimulus presentation sequence for P300 ...

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2011年中国智能自动化学术会议

作者：王冠坤金晶王行愚 Key Laboratory of Advanced Control and Optimization for Chemical Processes(Ministry of Education) School of Information Science and EngineeringEast China University of Science and Technology

The P300 potential is a positive peak of an event-related potential(ERP) that happens at 300 ms after a *** this study,both offline and online stages were carried out in the *** motivation of this paper is to compare two different P300 brain-computer interfaces(BCIs) which were evoked by random stimulus and non-random stimulus *** offline data demonstrated that the random stimulus induced a higher P300 amplitude and classification accuracy than the non-random *** offline data were used to train the Bayesian linear discriminate analysis(BLDA),which was used in offline experiment. The online results further proved that random stimulus P300 BCI yields better performance than non-random stimulus P300 BCI.

关键词： brain-computer interface P300 non-random stimulus random stimulus

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