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作者： Sun, Fan Luo, Na Qi, Rongbin Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Automatic Institute Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai 200237 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. © 2011 Zhejiang University.

关键词： Hydration

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Fixed-time consensus for multi-agent systems under directed and switching interaction topology

Fixed-time consensus for multi-agent systems under directed ...

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2014 American control Conference, ACC 2014

作者： Zuo, Zongyu Yang, Wen Tie, Lin Meng, Deyuan Beijing 100191 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai 200237 China Beijing 100191 China

ISBN: (纸本)9781479932726

In this paper, we address the fixed-time consensus problem for multi-agent systems in networks with directed and switching interaction topology. With the introduction of mirror operation, two global distributed nonlinear consensus protocols are constructed for each first-order agent under strongly connected information flow. The distinctive feature of this paper is to address the explicit bounds of the finite settling time for both protocols are independent of initial condition, which makes it possible for network consensus problems of a multi-agent team with guaranteed convergence time. Further, the second protocol is valid for the networks of multi-agents with switching topology provided that the sum of time intervals, in which the information flow is strongly connected, is larger than the estimated upper-bound for settling time. Finally, simulations are provided to demonstrate the performance and effectiveness of our theoretical results. © 2014 American Automatic control Council.

关键词： Multi agent systems

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Introducing Robustness in controllability of Neuronal Networks 34

Introducing Robustness in Controllability of Neuronal Networ...

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第三十四届中国控制会议

作者： TANG Yang DU Wei The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology The Institute of Textiles and Clothing The Hong Kong Polytechnic University

ISBN: (纸本)9781467374439

This paper addresses robust multiobjective identification of driver nodes in the neuronal network of a cat's brain,in which uncertainties in determination of driver nodes and control gains are considered. A framework by including interval uncertainties is proposed for robust controllability. It is revealed that the existence of uncertainties in choosing driver nodes and designing control gains heavily affect the controllability of neuronal networks.

关键词： Synchronization,Neuronal networks,controllability,Robustness,Multiobjective optimization

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Simulation and Analysis on Multiple Steady States of an Industrial Acetic Acid Dehydration System

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Chinese Journal of chemical Engineering 2011年第6期19卷 983-989页

作者：李绍军黄定伟 Key Laboratory of Advanced Control and Optimization for Chemical Processes （East China University of Science and Technology） Ministry of Education Shanghai 200237 China

In this work, an industrial acetic acid dehydration system via heterogeneous azeotropic distillation is simulated by Aspen Plus software. Residue curves are used to analyze the distillating behavior, and appropriate operating region of the system is determined. Based on steady states simulation, a sensitivity analysis is carried out to detect the output multiple steady states in the system. Different solution branches are observered when the flow rates of the feed stream and the organic reflux stream are selected as manipulated variables. The performance of the column under different steady states is different. A method is oroposed to achieve the desired steady state.

关键词： acetic acid dehydration heterogeneous azeotropic distillation residue curve multiple-steady states

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Robust multi-layer extreme learning machine using bias-variance tradeoff

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Journal of Central South University 2020年第12期27卷 3744-3753页

作者： YU Tian-jun YAN Xue-feng Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and TechnologyShanghai 200237China

As a new neural network model,extreme learning machine(ELM)has a good learning rate and generalization ***,ELM with a single hidden layer structure often fails to achieve good results when faced with large-scale multi-featured *** resolve this problem,we propose a multi-layer framework for the ELM learning algorithm to improve the model’s generalization ***,noises or abnormal points often exist in practical applications,and they result in the inability to obtain clean training *** generalization ability of the original ELM decreases under such *** address this issue,we add model bias and variance to the loss function so that the model gains the ability to minimize model bias and model variance,thus reducing the influence of noise signals.A new robust multi-layer algorithm called ML-RELM is proposed to enhance outlier robustness in complex *** results show that the method has high generalization ability and strong robustness to noise.

关键词： extreme learning machine deep neural network robustness unsupervised feature learning

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A Fuzzy-based Adaptive Genetic Algorithm and Its Case Study in chemical Engineering

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Chinese Journal of chemical Engineering 2011年第2期19卷 299-307页

作者：杨传鑫颜学峰 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai 200237 China

Considering that the performance of a genetic algorithm （GA） is affected by many factors and their rela-tionships are complex and hard to be described,a novel fuzzy-based adaptive genetic algorithm （FAGA） combined a new artificial immune system with fuzzy system theory is proposed due to the fact fuzzy theory can describe high complex *** FAGA,immune theory is used to improve the performance of selection ***,crossover probability and mutation probability are adjusted dynamically by fuzzy inferences,which are developed according to the heuristic fuzzy relationship between algorithm performances and control *** experi-ments show that FAGA can efficiently overcome shortcomings of GA,i.e.,premature and slow,and obtain better results than two typical fuzzy ***,FAGA was used for the parameters estimation of reaction kinetics model and the satisfactory result was obtained.

关键词： fuzzy logic controller genetic algorithm artificial immune system reaction kinetics model

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A Hybrid Algorithm Based on Differential Evolution and Group Search Optimization and Its Application on Ethylene Cracking Furnace

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Chinese Journal of chemical Engineering 2013年第5期21卷 537-543页

作者：年笑宇王振雷钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes (l~Iinistry of Education) East ChinaUniversity of Science and Technology Shanghai 200237 China

To find the optimal operational condition when the properties of feedstock changes in the cracking furnace online,a hybrid algorithm named differential evolution group search optimization(DEGSO) is proposed,which is based on the differential evolution(DE) and the group search optimization(GSO).The DEGSO combines the advantages of the two algorithms:the high computing speed of DE and the good performance of the GSO for preventing the best particle from converging to local optimum.A cooperative method is also proposed for switching between these two *** the fitness value of one algorithm keeps invariant in several generations and less than the preset threshold,it is considered to fall into the local optimization and the other algorithm is *** on benchmark functions show that the hybrid algorithm outperforms GSO in accuracy,global searching ability and *** optimization of ethylene and propylene yields is illustrated as a case by *** optimization,the yield of ethylene and propylene is increased remarkably,which provides the proper operational condition of the ethylene cracking furnace.

关键词： group search optimization differential evolution ethylene and propylene yields cracking furnace

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A Hybrid Improved Genetic Algorithm and Its Application in Dynamic Optimization Problems of chemical processes

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Chinese Journal of chemical Engineering 2013年第2期21卷 144-154页

作者： SUN Fan DU Wenli QI Rongbin QIAN Feng ZHONG Weimin Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

The solutions of dynamic optimization problems are usually very difficult due to their highly nonlinear and multidimensional nature. 13enetic algorithm （GA） has been proved to be a teasibte method when the gradient is difficult to calculate. Its advantage is that the control profiles at all time stages are optimized simultaneously, but its convergence is very slow in the later period of evolution and it is easily trapped in the local optimum. In this study, a hybrid improved genetic algorithm （HIGA） for solving dynamic optimization problems is proposed to overcome these defects. Simplex method （SM） is used to perform the local search in the neighborhood of the optimal solution. By using SM, the ideal searching direction of global optimal solution could be found as soon as possible and the convergence speed of the algorithm is improved. The hybrid algorithm presents some improvements, such as protecting the best individual, accepting immigrations, as well as employing adaptive crossover and Ganssian mutation operators. The efficiency of the proposed algorithm is demonstrated by solving several dynamic optimization problems. At last, HIGA is applied to the optimal production of secreted protein in a fed batch reactor and the optimal feed-rate found by HIGA is effective and relatively stable.

关键词： genetic algorithm simplex method dynamic optimization chemical process

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Process monitoring of multimode processes using kernel independent component analysis

Process monitoring of multimode processes using kernel indep...

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8th International Symposium on advanced control of chemical processes, ADCHEM 2012

作者： Zhang, Yingwei An, Jiayu Ma, Chi State Key Laboratory of Synthetical Automation of Process Industry Northeastern University Shenyang Liaoning 110819 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Shanghai 200237 China

ISBN: (纸本)9783902823052

In the paper, a new process monitoring approach is proposed for handling the multimode problem in the industrial processes. The original space can be separated into two different parts, which are the common part and the specific part. There are both similarity and dissimilarity in the underlying correlations of different modes, which play different roles in the industrial processes. Because the industrial processes have the non-Gaussian and nonlinear characteristics, modified kernel independent component analysis is used to monitor the multimode processes in this paper. The global multimode basis vector and the multimode sub-basis vector are obtained based on the modified KICA. Then, the common part and specific part in one mode are respectively analyzed. The proposed method is applied to monitor the continuous annealing process. The proposed approach effectively captures the non-Gaussian and nonlinear relationship in different modes in the industrial processes. © 2012 IFAC.

关键词： Process monitoring

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Isobaric Vapor-Liquid Equilibrium of Binary Systems： p-Xylene ＋（Acetic Acid, Methyl Acetate and n-Propyl Acetate） and Methyl Acetate ＋ n-Propyl Acetate in an Acetic Acid Dehydration Process

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Chinese Journal of chemical Engineering 2013年第2期21卷 171-176页

作者： HUANG Xiuhui ZHONG Weimin PENG Changjun QIAN Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

The vapor-liquid equilibrium data of four binary systems (acetic acid +p-xylene, methyl acetate +n-propyl acetate, n-propyl acetate +p-xylene and methyl acetate +p-xylene) are measured at 101.33 kPa with Ellis equilibrium still, and then both the NRTL and UNIQUAC models are used in combination with the HOC model for correlating and estimating the vapor-liquid equilibrium of these four binary systems. The estimated binary VLE results using correlated parameters agree well with the measured data except the methyl acetate +p-xylene system which easily causes bumping and liquid rushing out of the sampling tap due to their dramatically different boiling points. The correlation results by NRTL and UNIQUAC models have little difference on the average absolute deviations of temperature and composition of vapor phase, and the results by NRTL model are slightly better than those by UNIQUAC model except for the methyl acetate +n-propyl acetate system, for which the latter gives more accurate correlations.

关键词： vapor-liquid equilibrium p-xylene acetic acid methyl acetate n-propyl acetate parameter correlation

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