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第26届中国过程控制会议（CPCC2015）

作者： Yong Gao Xin Wang Zhenlei Wang Liang Zhao Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Center of Electrical & Electronic Technology Shanghai Jiao Tong University

Moving window local outlier probability(MWLo OP)is an outlier detecting method which was proposed for monitoring time-varying industrial processes;however,for the practical industrial processes,besides the time-varying characters caused by deactivation of catalyst,measuring instrument drifting and so on,the operation mode is often switched as the adjusting of the feedstock,changes in market demands and so *** the WMLo OP algorithm can deal with the time-varying process data,the multi-mode process data will lead to a mass of fault *** solve this problem,an external analysis moving window local outlier probability(EA-MWLo OP)algorithm is proposed in this *** external analysis is employed to eliminate the influence of operation mode change on the process data,then the MWLo OP method can deal with complex distribution time-varying data,and give an outlier ***,the corresponding statistic and control limit are constructed to detect the process *** addition,while the monitoring model updated,the control limit is not necessary to *** performance of this method is evaluated through a case study of a non-isothermal continuous stirred tank reactor(CSTR).

关键词： multi-mode time-varying extern analysis non-Gaussian MWLo OP

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Sliding Mode control for Uncertain Switched Systems with State and Input Delay

Sliding Mode Control for Uncertain Switched Systems with Sta...

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第三十二届中国控制会议

作者： Yonghui Liu Yugang Niu Yuanyuan Zou Key Laboratory of Advanced Control and Optimization for Chemical Process(East China University of Science and Technology)Ministry of Education

ISBN: (纸本)9781479900305

This paper considers sliding mode control for a class of uncertain switched systems with state and input *** employing a weighted sum of the input matrix,a common sliding surface is designed and the corresponding sliding mode dynamics is *** guarantee the asymptotic stability of the sliding motion,a switching signal based on the min-projection strategy is ***,it is shown that the state trajectories can be driven onto the specified sliding surface despite the presence of state and input delay and external ***,a numerical example is given to demonstrate the effectiveness of the proposed method.

关键词： switched systems sliding mode control input delay multiple Lyapunov functions

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A valve stiction and time delay control method based on fuzzy smith internal model principle

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chemical Engineering Transactions 2017年 61卷 577-582页

作者： Zhang, Hao Wang, Xin Wang, Zhenlei Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai200237 China Center of Electrical and Electronic Technology Shanghai Jiao Tong University Shanghai200240 China

In the process of chemical production, the phenomenon of control valve's stiction is very common. This phenomenon causes control loop oscillation and has a negative effect on the quality and cost of the product. Time delay exists widely in industrial process, which leads to the variation of the dynamic response of the system. In this paper, taking the stiction model proposed by Kano as an example, then puts forward a method of smith internal model control based on fuzzy theory. This paper try to solve the stiction problem by controller designed. This control method can realize the parameter self-tuning and overcome the stiction. Simulation results show that the method proposed can effectively overcome the loop oscillation and improve the performance of the system. Copyright © 2017, AIDIC Servizi S.r.l.

关键词： Stiction

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An improved UKPK-PSO algorithm inspired from block chain technology for flexible job shop scheduling problem

An improved UKPK-PSO algorithm inspired from block chain tec...

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第三十八届中国控制会议

作者： Lin Yao Yabin Liu Houbao Zhao Haojie Ding Shanghai Polytechnic University Shanghai Lixin University of Accounting and Finance Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

The paper proposes a new encoding method inspired from the block chain technology, by which an operation sequence information and the corresponding machine information is integrated in an operation node and links all operation nodes to form an operation list with pointer technology of C++ program language. Accordingly, the paper designs an individual unit ID for every possible cases. Subsequently, it describes the process of searching the optimal solution of FJSP by implementing an improved UKPK-PSO algorithm, which hybridizes a varied PSO algorithm by getting the best information from K informants and the method of keeping the elitists for next generation in iterations. With the improved algorithm we can more efficiently traverse the solution space. After obtained some better solutions with the improved PSO, we continuously search the optimal solutions by tentatively changing the chosen machines of the dominant operations. Finally, it outputs the optimal solution through some limited iterations again. By analyzing the experiment results for the instances, the paper furtherly proves that the whole algorithm is effective for FJSP.

关键词： Flexible job shop scheduling problems Particle Swarm Optimal Algorithm Block chain Technology Operations Research

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Data-Driven controller Synthesis for Parameters Unknown Linear-delay Systems with Input Constraint

Data-Driven Controller Synthesis for Parameters Unknown Line...

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第33届中国控制与决策会议

作者： Jinggao Sun Guanghao Su Xianfeng Chen Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology

In practical control engineering,delay and actuator saturation are main challenges which may lead to system performance degradation,or even controlled variables *** of Smith predictor and model recovery anti windup method is an effective solution to linear delay system anti-windup synthesis,however model dependent property of the above two methods brings obstacles for the application and *** overcome such a difficulty,a data-driven approach is proposed in this paper,operating data is collected and utilized to simultaneously tune feedback controller parameters and estimate internal model applied in Smith ***,anti-windup compensator is constructed with the estimated model and a compensator gain optimization structure is proposed based on Lyapunov ***,simulations have been implemented to three typical processes in chemical engineering,and detailed performance comparison is provided to illustrate the effectiveness of the proposed method.

关键词： anti-windup data-driven control smith predictor unknown linear delay system

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Data-driven online operating performance assessment for multi-datasets multivariable industrial processes

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chemical Engineering Transactions 2017年 61卷 1729-1734页

作者： Du, Yupeng Wang, Zhenlei Wang, Xin Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai200237 China Center of Electrical and Electronic Technology Shanghai Jiao Tong University Shanghai200240 China

In this study, a novel online operating performance assessment method based on multi-sets two-step basis vector extraction artificial neural networks (MTBVE-ANN) strategy is proposed for industrial applications. The MTBVE-ANN method focuses on finding common and specific information involved in multi-datasets, which improves the accuracy of data nonlinear characterization with artificial neural networks introduced. The optimality related variations are extracted from each operating performance grade by analysing the common and unique variations over online steady performance grades. The online operating performance assessment method is performed based on the similarities between the optimality related variations of the test data and that of historical training data. Previously, total projection to latent structures (T-PLS) operating performance assessment method must be performed based on the availability of both input and output data. The proposed method in this paper takes the artificial neural network to assess the operating performance grade of the online test data without output. The validity and precision of the proposed operating performance assessment method is illustrated with the industrial data of multi-datasets multivariable industrial processes. Copyright © 2017, AIDIC Servizi S.r.l.

关键词： Neural networks

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Enhanced Process Monitoring via Time Space Coordinated-Locality Preserving Projection

Enhanced Process Monitoring via Time Space Coordinated-Local...

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第27届中国过程控制会议（CPCC2016）

作者： Yang Jian Song Bing Tan Shuai Shi Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Process of the Ministry of Education East China University of Science and Technology

In this paper,a novel dimensionality reduction method,time space coordinated-locality preserving projections(TSCLPP) is proposed based on locality preserving projection(LPP).For the short sampling interval,except the data correlation in spatial scale,there exists data correlation in time scale as *** considering the correlation of sampling points in time and spatial scale simultaneously,TSCLPP constructs the adjacency graph by selecting adjacent points in time-sequence and Euclidean distance ***,the importance of the time-sequential neighbors is measured by the weight based on a time distance.A dual objective function with a weight index coordinating the relationship between time and space is constructed to compute the transformation ***'s T2 and squared prediction error(SPE) are established for process monitoring.A numerical case and the Tennessee-Eastman Process(TEP) are employed for the experimental verification.

关键词： Enhanced Process Monitoring via Time Space Coordinated-Locality Preserving Projection

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Initial-Parameter-Criterion based Gaussian Mixture Model Monitoring Method for Non-Gaussian Process

Initial-Parameter-Criterion based Gaussian Mixture Model Mon...

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Chinese control Conference

作者： Ying Tian Wenli Du Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology Shanghai Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai

Gaussian mixture model (GMM) monitoring method is commonly used for non-Gaussian process monitoring. In GMM monitoring method, the final number of Gaussian components and the statistical distribution parameters are estimated through the improved Figueiredo-Jain (F-J) algorithm in the modeling phase. However, the data dimensionality of modern industry is high, the number of initial Gaussian components is large for the accuracy of the algorithm. Under this condition, the relative small number of samplings makes the denominator in the weight estimation formula of the improved F-J algorithm become zero and the algorithm suspends. To make the algorithm work well in an acceptable modeling time, we deduce the Initial-Parameter-Criterion among initial Gaussian components, data dimension, sampling number and propose the Initial-Parameter-Criterion based GMM (IPC-GMM) monitoring method. The proposed monitoring method is used for TE process monitoring, simulation results reveal the effectiveness and necessity of IPC-GMM monitoring method.

关键词： Monitoring Gaussian mixture model Density functional theory Industries Data models Process control

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The segmentation of ban traffic signs based on two-step randomized Hough transform

The segmentation of ban traffic signs based on two-step rand...

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31st Chinese control Conference, CCC 2012

作者： Xin, Zhou Zhencheng, Ye Feng, Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education China School of Information Science and Engineering East China University of Science and Technology Shanghai 200237 China

ISBN: (纸本)9789881563811

In order to segment ban traffic signs quickly and accurately, this paper first refers to its characteristic of red circle and white background to start color segmentation, then presents a segmentation method based two-step randomized Hough transform (RHT) segmentation method. The first step, extracting the approximate area in the ban traffic signs, which is using the means of Hough transform detect approximate circle method, then screening edge chain code by the approximate range of the center and radius of traffic signs. The second step, comprehensive the ideas, such as the tangent of edge chain, the ellipse polar and polar line, the distance of the point on the ellipse to the two elliptical focal point is equal to long-axis length, Using these ideas to improve the randomized Hough transform and segment the ellipse precise area where traffic signs at the original image. This method uses the idea of thin after rough, avoiding a large number of invalid samples. Experiments show the effectiveness of the new method. © 2012 Chinese Assoc of Automati.

关键词： Hough transforms

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Congestion control for Wireless Sensor Networks: A survey

Congestion Control for Wireless Sensor Networks: A survey

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第26届中国控制与决策会议

作者： Hu Yuan NiuYugang Gan Fenghao Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education (East China University of Science and Technology)

ISBN: (纸本)9781479937097

Due to the characteristics of source limited, multi-to-one paths and burst data flow, congestion inevitable happens in wireless sensor networks(WSNs). The control mechanism of congestion for WSNs is of high significant and plays a key role in achieving high QoS of the network. In this paper, many existing congestion control mechanisms have been summarized and compared, some interesting topics have been provided.

关键词： Wireless Sensor Networks Congestion control mechanism Data Transmission

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