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第25届中国过程控制会议

作者： Ye Zhencheng Li Yun Luo Na Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

the Molecular weight distribution(MWD)is an important quality index for the polymer material,but detecting the MWD in real-time is still difficult by *** rapid real-time detection method for MWD with good accuracy is the current hotspot in the polymer *** from the method other literatures have described,in this work the reaction mechanism and the industrial information will be merged to build a hybrid model for the MWD to solve the prediction accuracy and real-time problems,using the weighted superposition of the distribution function on each active center of catalyst to fit the MWD and applying the multi-output support vector machine regression(MSVR)algorithm to describe the relationship between process conditions and the parameters of distribution *** the unconstrained nonlinear optimization method has been used to optimize the process conditions based on the hybrid ***,the application of the above-mentioned approach in the ethylene polymerization process has verified the feasibility.

关键词： polyethylene,molecular weight distribution,modeling,optimization,multi-output support vector machine

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Improved Performance of process Monitoring Based on Selection of the key Principal Components

Improved Performance of Process Monitoring Based on Selectio...

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第25届中国过程控制会议

作者： Bing Song Yuxin Ma Hongbo Shi Key laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

Conventional principal component analysis（PCA）-based methods can conduct dimensionality reduction on process variables and can obtain low-dimensional representations that capture most of the variance information in the original data ***,principal components（PCs）with larger variance of normal data cannot guarantee the capture of the largest variations in fault data since the fault information is complicated and *** other words,the last PCs with smaller variance may be as important as those with larger ***,PCs selection based on variance in the PCA is subjective,which can lead to information loss and poor monitoring *** address both dimension reduction and information preservation simultaneously,this paper proposes a novel PCs selection scheme named full variable expression（FVE）.On the basis of the proposed relevance of variables with each principal component,the key principal components can be *** relevance indicates the expression degree of the original variables on each principal *** the key principal components serve as a low-dimensional representation of the entire original variables,thereby preserving the information of the original data space without undergoing information loss.A squared Mahalanobis distance,which is introduced as the monitoring statistic,is calculated directly in the key principal components space for fault *** order to test the modeling and monitoring performance of the proposed method,a numerical example and the Tennessee Eastman（TE）benchmark case studies are provided.

关键词： Principal Component Analysis Information Loss Fault Detection key Principal Components

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Distributed estimation over analog fading channels using constant-gain estimators 19

Distributed estimation over analog fading channels using con...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Xiao, Nan Xie, Lihua Niu, Yugang Hong, Yiguang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China EXQUISITUS Centre for E-City School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9783902823625

This paper considers the distributed estimation of an unstable target via constant-gain estimators under local communications and channel fading. The communication graph is assumed to be fixed and undirected, and the channel fading is assumed to be identical. Necessary and sufficient conditions on communication network over which the state of the unstable target can be estimated in the mean square sense are given for both continuous-time and discrete-time cases, which reveal the fundamental limitation on distributed estimation induced by local communications, channel fading, and target dynamics. In addition, our results for the case without channel fading and the case with separate communications are consistent with the results in the literature. © IFAC.

关键词： Fading channels

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Event-triggered model predictive control for wireless networked control system

Event-triggered model predictive control for wireless networ...

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International Conference on Mechatronics and control (ICMC)

作者： Quan Wang Yuanyuan Zou Yugang Niu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China Univ. of Science and Technology Shanghai China

ISBN: (纸本)9781479925391

In order to save communication consumption in the wireless nodes of networked control systems, this paper investigates the stabilization problem of an event-triggered constrained model predictive control. A state-feedback predictive control law is designed by solving an infinite horizon performance objective and an event-triggered condition involving the norm of a measurement error is derived based on input-to-state stability. Under the proposed mechanism, the measurements are sent by wireless network and the predictive control optimization is implemented only when the triggering conditions are satisfied. This approach not only can alleviate the energy consumption but also achieves the desired control performance and constraints satisfaction. Finally, an example is given to illustrate the effectiveness of the proposed results.

关键词： Predictive control Wireless sensor networks Networked control systems Closed loop systems Wireless networks

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A Fast Global Group Search Optimizer algorithm

A Fast Global Group Search Optimizer algorithm

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International Conference on Information and Automation (ICIA)

作者： Kang Zhang Xingsheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education Shanghai

The Group Search Optimizer(GSO) is a novel optimization algorithm, which is inspired by searching behavior of animals. In this paper, we proposed an improved GSO algorithm named Fast Global Group Search Optimizer(FGGSO) to increase searching speed and balance the exploitation and exploration of the algorithm, which is based on our previous works. At first time, considering the complexity and time-consuming design of the producer's angle searching strategy, a novel local search mechanism, named campaign strategy, is developed, which is inspired by competition and cooperation between candidates in an electoral process. After that, a reconstruction operation is applied in searching process to guarantee the avoidance of the local minimum. The algorithm is evaluated on a set of 11 numerical optimization problems and compared favorably with other version of GSOs. Experimental results indicate the remarkable improvement on the performance of these problems.

关键词： optimization Standards Animals Acceleration Biological system modeling Convergence Search problems

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Dynamic optimization of chemical engineering problems using affinity propagation based estimation of distribution algorithm

Dynamic optimization of chemical engineering problems using ...

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World Congress on Intelligent control and Automation (WCICA)

作者： Na Luo Wei Feng Xiaoqiang Wang Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

Dynamic optimization has attracted much attention for its wide applications in engineering problems. However, it is still a challenge for high nonlinear, multi-dimensional and multimodal problems. Estimation of Distribution Algorithm was proposed in which probabilistic models extracted relevant features of the complex search space and then generated new individuals during optimization. In order to decrease the dependences among control variables in dynamic optimization, affinity propagation was applied to cluster the individuals in evolutionary iterations. In each cluster, the probabilistic density function of Gaussian mixture model refined the promising spaces with high quality solutions and avoided the random combination of different control variables. To evaluate the performance of the new approach, three dynamic optimization problems of chemical process are used as cases comparing with three state-of-the-art global optimization methods. The results showed that the new approach could achieve the best solution in most cases with less computational effort and higher efficiency.

关键词： Statistics Probabilistic logic optimization Sociology Algorithm design and analysis Robustness Genetic algorithms

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Multi-time Scale Hierarchical Predictive control for Energy Management of Microgrid System with Smart Users

Multi-time Scale Hierarchical Predictive Control for Energy ...

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第26届中国控制与决策会议

作者： Jun Xu Yuanyuan Zou Yugang Niu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China Univ.of Science and Technology Key Laboratory of System Control and Information Processing Ministry of Education

In this paper, a multi-time scale hierarchal model predictive control strategy is proposed to optimize energy management problem of a microgrid with multiple smart users. According to the power flow among different energy modules, a hierarchical system model and a multi-time scale hierarchal energy optimization management problem are established. The centralized controller in the upper layer is to optimize the charge/discharge time and energy of storage devices, controllable supply power adjustment and dispatch of the aggregators. The optimization problem in the lower layer is to meet users' demands in real time. Meanwhile, in order to improve the disturbances caused by the randomness of renewable energy and variant loads, a multi-time scale optimization scheme is applied. At the slow scale, the upper optimization problem is solved, and the optimal energy scheduling in the long-term can be achieved. At the fast scale, the energy balance between supply and demand of smart users can be realized in the short-term. Finally, simulation results illustrate the effectiveness of proposed method.

关键词： Smart user,Microgrid,Energy management,Multi-time scale time-hierarchal,Model predictive control

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Investigation of mental fatigue induced by a continuous mental arithmetic task based on EEG coherence analysis

Communications in Computer and Information Science

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Communications in Computer and Information Science 2014年 461卷 33-38页

作者： Chen, Lanlan Zhao, Y. Zhang, Jian Zou, Junzhong Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology 130 Meilong Road Shanghai200237 China

ISBN: (纸本)9783662452820

In the present study, twelve volunteers were participated in a 2 h continuous mental arithmetic task without any break, which was designed to induce mental fatigue. The negative influence was investigated through EEG coherence, which was used as a measure of synchronization of different underlying brain regions. It was observed that the sustained mental task led to increased EEG coherence, which did not result in more efficient performance. The change of EEG coherence was widespread not limited to specific brain regions or frequency bands. The variation of EEG coherence combined with behavior performance validated the impact of mental fatigue caused by a continuous mental task. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Brain

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Statistical process monitoring based on improved principal component analysis and its application to chemical processes

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2013年第7期14卷 520-534页

作者： Chu-dong TONG Xue-feng YAN Yu-xin MA Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

In this paper, a novel criterion is proposed to determine the retained principal components (PCs) that capture the dominant variability of online monitored data. The variations of PCs were calculated according to their mean and covariance changes between the modeling sample and the online monitored data. The retained PCs containing dominant variations were selected and defined as correlative PCs (CPCs). The new Hotelling's T2 statistic based on CPCs was then employed to monitor the process. Case studies on the simulated continuous stirred tank reactor and the well-known Tennessee Eastman process demonstrated the feasibility and effectiveness of the CPCs-based fault detection methods.

关键词： Fault detection Principal component analysis (PCA) Correlative principal components (CPCs) Tennessee Eastman process

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Quantized H∞ control for stochastic nonlinear networked systems

Quantized H∞ control for stochastic nonlinear networked sys...

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Chinese control and Decision Conference, CCDC

作者： Huaicheng Yan Hongbo Shi Hao Zhang Haitao Zhao Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education Shanghai 200237 China Tongji University Shanghai Shanghai CN

In this paper, we are concerned with the quantized H ∞ control problem for a class of stochastic systems with random communication delays. The system under consideration involves signals quantization, Itô stochastic disturbance as well as random communication delays. The measured output and the control input quantization are considered simultaneously. We aim at designing an observer-based controller such that the dynamics of the filtering error is guaranteed to be exponentially stable in the mean square, and a prescribed H ∞ disturbance attenuation level is also achieved. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

关键词： Educational institutions Delays Quantization (signal) Electronic mail Stochastic systems Laboratories optimization

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