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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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Multimode process Monitoring Based on Fuzzy C-Means in Locality Preserving Projection Subspace

Multimode Process Monitoring Based on Fuzzy C-Means in Local...

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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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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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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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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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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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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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