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第23届过程控制会议

作者： Xiang Xie Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes(East China University of Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of

For complex industrial processes with multiple operating conditions, it is important to develop effective monitoring algorithms to ensure the safety of the producing processes. This paper proposes a novel monitoring strategy based on fuzzy c-means (FCM). First, the high dimensional historical data are transferred to a low dimensional subspace space by locality preserving projection (LPP). Then the scores in the novel subspace are classified into several overlapped clusters, each representing an operating mode. After that, the distance statistics of each cluster are integrated though the membership values into a novel BID monitoring index. The efficiency and effectiveness of the proposed method are validated though the Tennessee Eastman (TE) benchmark process.

关键词： Multimode process monitoring fuzzy c-means locality preserving projection integrated monitoring index Tennessee Eastman process.

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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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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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Hybrid Consensus-based Algorithm for Distributed Economic Dispatch Problem

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IFAC-PapersOnLine 2017年第1期50卷 177-182页

作者： Liu X.-K. Wang Y.-W. Yan H. Wang X. Hu X. School of Automation Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control (Huazhong University of Science and Technology) Ministry of Education China Key Laboratory of Advanced Control Optimization for Chemical Process of Ministry of Education China School of Information Science and Engineering East China University of Science and Technology 130 Meilong Road Shanghai 200237 China

Economic dispatch is one of the fundamental problems in the power system research. The existing algorithms are either discrete iterative algorithms or continuous-time dynamical algorithms. By virtue of the hybrid techniques, a hybrid consensus-based algorithm is proposed in this paper, which consists of a finite-time continuous-time algorithm and a discrete-time interacted scheme. Moreover, inspired by the cluster synchronization and the benefit of the projection operator, a supervised strategy is carried out to ensure that each generator unit will work within its power generation constraint. For a better understanding of the supervised hybrid distributed algorithm, the detailed pseudo-code is presented. Finally, a numerical example is given to illustrate the effectiveness of the algorithm. © 2017

关键词： consensus protocol distributed optimization economic dispatch hybrid system smart grid

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Feature extraction of vigilance level based on Heart Rate Variability of Electrocardiogram

Feature extraction of vigilance level based on Heart Rate Va...

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2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011

作者： Yu, Shanshan Wang, Bei Wang, Yujue Wang, Xingyu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education No. 130 Meilong St. Shanghai 200237 China

ISBN: (纸本)9781424493524

This paper presented a simple method of detecting the peak of R wave in Electrocardiogram (ECG) signal and computing the Heart Rate Variability (HRV). Features were extracted from the obtained HRV to analyze the vigilance level during day time short nap sleep. Firstly, the second derivative of ECG signal was calculated and clustered in order to detect the peak of R wave. Secondly, HRV was calculated from the subtraction of two adjoining R waves. Finally, several features were extracted based on HRV in time domain and frequency domain. The variation of vigilance level during the day time short nap was analyzed based on the extracted features. The result showed that the accuracy of peak detection of R wave in ECG signal was about 99.5%. The extracted features can reflect the changing of vigilance level and be useful for sleep stage analysis. © 2011 IEEE.

关键词： Electrocardiograms

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Evolutionary algorithm using kernel density estimation model in continuous domain

Evolutionary algorithm using kernel density estimation model...

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Asian control Conference

作者： Na Luo Feng Qian Key Laboratory of Advanced Control and Optimization of Chemical Process Ministry of Education State Key Laboratory of Chemical Engineering East China University of Science and Technology Shanghai China Key Laboratory of Advanced Control and Optimization of Chemical Process Ministry of Education State-Key Laboratory of Chemical Engineering East China University of Science and Technology Shanghai China

ISBN: (纸本)9781424454402

Estimation of distribution algorithm (EDA) is a kind of evolutionary algorithm which updates and samples from probabilistic model in evolutionary course. The key of EDA is the construction of probability model suitable for real distribution. Gaussian distribution is widely used in EDAs but the assumption of normality is not realistic for many real-life problems. In this paper, a new EDA using kernel density estimation (KEDA) is introduced. Adaptive change strategy of kernel width is presented and selection scheme, sampling method are also given cooperated with KEDA. The results of 5 benchmark functions show that results of KEDA outperform PBIL C , UMDA C , EDA G , H-EDA.

关键词： Evolutionary computation Kernel Electronic design automation and methodology Laboratories Histograms Density functional theory Gaussian distribution Automatic control chemical processes control engineering education

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Prescribed-time distributed localization of multi-agent systems based on local bearing information

Prescribed-time distributed localization of multi-agent syst...

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第43届中国控制会议

作者： Yunkai Lv Huaicheng Yan Kai Rao Penghui Yang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This work considers the localizability of multi-agent systems based on local bearing measurement.A novel prescribedtime orientation estimation algorithm is first proposed to guarantee that the local reference frame of the follower agent is aligned with the global *** orientation estimation algorithm is then applied to the problem of position estimation,and a prescribedtime distributed localization estimation algorithm is *** global convergence is derived based on the cascade *** simulation results are provided to prove the effectiveness of the proposed estimation methods.

关键词： Local bearing information orientation estimation prescribed-time

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A novel deep quality-supervised regularized autoencoder model for quality-relevant fault detection

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Science China(Information Sciences) 2022年第5期65卷 280-282页

作者： Zhichao LI Li TIAN Xuefeng YAN Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

Dear editor,In the industrial processes, timely detection of key quality variables is very important for tracking the product quality, monitoring the process status, and achieving stable and reliable control. However,... 详细信息

关键词： supervised learning deep learning regularized autoencoder process monitoring quality-relevant fault detection

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A Fast Algorithm for Reducing the Computation Burden of Model Predictive control

A Fast Algorithm for Reducing the Computation Burden of Mode...

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第25届中国过程控制会议

作者： Chao Chen Mei Hua Rongbin Qi Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Process （East China University of Science and Technology） Ministry of Education

Most of industrial model-based predictive control algorithms are suffering from heavy computation burden when solving QR optimizations and on-line matrixes multiplication within a limited sampling *** order to optimize this problem,a fast algorithm is proposed,which the real-time values are modulated into bit streams to simplify the multiplication as the bit based operation could extremely decrease the compute *** addition,the control variables are deduced from the prediction horizon to the current control actuation approximately by a recursive relation instead of figuring all of the control actuations out strictly to reduce the matrix dimension.

关键词： Fast MPC Algorithm Computation Burden Bit-Streams processing Dimension Reducing

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Hydrodynamics of heterogeneous particle swarms in gas-liquid-solid stirred tanks with free surface studied by DEM-VOF

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Powder Technology 2025年 462卷

作者： E, Dianyu Wen, Yingming Wu, Yiliu Li, Jing Sun, Weifu Liu, Yonggang Chen, Chao Cui, Jiaxin Qiu, Yinxuan Jiangxi Provincial Key Laboratory of Particle Technology Jiangxi University of Science and Technology Nanchang330013 China Research Centre for Intelligent Mineral Processing & Metallurgy International Institute for Innovation Jiangxi University of Science and Technology Nanchang330013 China ARC Research Hub for Smart Process Design and Control Department of Chemical and Biological Engineering Monash University VIC3800 Australia School of Civil Engineering Southeast University Nanjing211189 China Advanced Technology Research Institute Beijing Institute of Technology Jinan250307 China Faculty of Materials Metallurgy and Chemistry Jiangxi University of Science and Technology Ganzhou341000 China Xinyu Iron and Steel Group Co. Ltd Xinyu338001 China College of Materials Science and Engineering Taiyuan University of Technology Taiyuan030024 China School of Chemical Engineering The University of Queensland QLD4072 Australia

Stirred tanks play a pivotal role in material blending, yet there is still a lack of data on inner complex blending mechanism, especially involving heterogeneous particle swarm with different shape combinations. This study extensively develops the DEM-VOF model, in which different drag force models are applied based on the identification of particle shapes. It aims to provide an insight into the blending system dynamics of heterogeneous particle swarms through seven arranged particle schemes building upon three different shapes. The results show that the oblate-prolate ellipsoid particle scheme has the optimal suspension performance, but demonstrates high power consumption. The addition of spherical particles into the oblate-prolate ellipsoid particle scheme has significant effect on particle suspension, fluid flow and the evolution of free surface, while contributes to a reduction in power consumption. This study presents an analysis of the hydrodynamics and optimization of blending systems involving heterogeneous particle swarms in stirred tanks. © 2025 Elsevier B.V.

关键词： Flow of gases

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