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American control Conference

作者： Li Xie Huizhong Yang Yanjun Liu Feng Ding Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) and the Control Science and Engineering Research Center Jiangnan University Wuxi 214122 P.R. China

ISBN: (纸本)9781457700811

This paper applies the hierarchical identification principle and the gradient search method to study iterative solutions for a class of general coupled matrix equations with real coefficients. As long as the convergence factors are appropriately chosen, the proposed algorithms for any initial values can provide iterative solutions that are arbitrarily close to the unique solutions of the equations. Two numerical examples are given to demonstrate the effectiveness of the proposed algorithms.

关键词： Coupled matrix equations hierarchical identification gradient search iterative algorithm estimation

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Large Scale and High-Precision Crop Recognition using Satellite Remote Sensing Images

Large Scale and High-Precision Crop Recognition using Satell...

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2024 China Automation Congress, CAC 2024

作者： Tao, Xuanting Tan, Jinglu Zhang, Jianguo Allakhverdiev, Suleyman I. Xu, Zhenyu Guo, Ya Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi China Department of Chemical & Biomedical Engineering University of Missouri ColumbiaMO United States Wuxi Agricultural Equipment Technology Extension Center Wuxi China Timiryazev Institute of Plant Physiology RAS Moscow Russia Longcom Internet of Things Co. Ltd Hefei China

ISBN: (纸本)9798350368604

Precise large-scale crop recognition is crucial for estimating crop yield and carbon assimilation. Current research on crop type recognition based on deep learning is often limited to a single crop and small areas, with poor model transferability. When performing multi-crop recognition over large areas, the accuracy significantly decreases. Therefore, it is necessary to establish a high-precision crop type recognition model with strong generalization capability. A deep learning model (LSTM-Transformer Parallel, LTP) based on the combination of LSTM (Long Short-Term Memory) network and Transformer self-attention mechanism architecture is proposed in this paper. The model captures the dependencies among crop NDVI time series data to achieve high-precision recognition of large-scale crop types. Experimental results show that in crop recognition experiments using small-scale agricultural area data, the recognition results of the LTP, TSMixer, and SegRNN models all performed excellently, with average accuracies of 94.55%, 94.41%, and 94.79%, respectively. In contrast, in crop recognition experiments using large-scale agricultural area data, the average accuracy of the LTP model reaches 93.77%, while the accuracies of the TSMixer and SegRNN models are 82.30% and 84.13%, respectively. This indicates that the LTP model not only performs well on small-scale agricultural area datasets but also significantly outperforms models in the literature on large-scale agricultural area datasets, demonstrating strong generalization capability. It provides a reliable method for large-scale multi-crop recognition, contributing to global food security and carbon cycle assessment. © 2024 IEEE.

关键词： Deep Learning Model Generalization Multi-crop recognition Sentinel-2 Satellite Time-series Data

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Predictor-based disturbance rejection control design for low-order stable and integrating processes with time delay

Predictor-based disturbance rejection control design for low...

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第三十九届中国控制会议

作者： Rudong Zang Shoulin Hao Tao Liu Qing-Guo Wang Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Institute of Advanced Control Technology Dalian University of Technology Institute for Intelligent Systems The University of Johannesburg

In this paper, a novel predictor-based disturbance rejection control scheme is proposed for industrial stable and integrating processes with time delay. Two realizable differentiators with finite gain are first introduced to estimate the derivatives of the delay-free output response given by a generalized predictor. Then, a predicted disturbance response is constructed for feedforward compensation by using the input signal along with the delay-free output response and its estimated derivatives. By specifying the desired closed-loop poles, the feedback controller is derived analytically. A prominent advantage of the proposed control scheme lies in that a trade-off between the control performance and its robustness against process uncertainties can be made by monotonically tuning the adjustable parameters in the prediction filter, differentiator and feedback controller, respectively. The necessary and sufficient condition for robust stability of the closed-loop system is established based on the small gain theorem. Two illustrative examples from the literature are adopted to demonstrate the effectiveness and superiority of the proposed control scheme.

关键词： Disturbance rejection time delay dead-time compensator realizable differentiator robust stability

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Multi-Step Ahead Fault Prediction Method Based on PCA and EMD

Multi-Step Ahead Fault Prediction Method Based on PCA and EM...

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2011 China control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Fuli Wang Yuqing Chang Shu Wang Zhen Zhao Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern Uni School of Information & Control Engineering Liaoning University of Petroleum & Chemical Technology

In recent years, fault prediction method, which means forecast process fault in an early time based on the current condition of the system, has attracted more and more attention by companies and scientists. However, it still has many problems in this area, especially for its application in industrial process. In the present work, a multi-step ahead fault prediction method combining principle component analysis, empirical mode decomposition and extreme learning machine are developed to realize early prediction of fault. The application of the presented method is illustrated with respect to simulated data collected from the Tennessee Eastman process. The experimental results demonstrate the effectiveness of the proposed method.

关键词： fault prediction principle component analysis (PCA) empirical mode decomposition (EMD) extreme learning machine (ELM) fault diagnosis signal processing

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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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第37届中国控制会议

作者： Ying Tian Wenli Du Shanghai Key Lab of Modern Optical System School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

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-ParameterCriterion 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： non-Gaussian process monitoring Gaussian mixture model Initial-Parameter-Criterion

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Static output feedback control for uncertain Roesser-type continuous-time two-dimensional piecewise affine systems

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Science China(Information Sciences) 2022年第11期65卷 305-306页

作者： Meng WANG Jianbin QIU Huaicheng YAN Zhichen LI Yue LI Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Research Institute of Intelligent Control and Systems Harbin Institute of Technology School of Astronautics Northwestern Polytechnical University

Dear editor,Many physical processes are of two-dimensional(2-D) characteristics and can be modeled by the celebrated Roessertype 2-D systems [1,2]. Due to the approximating capability of piecewise affine(PWA) dynamic ... 详细信息

关键词： Asymptotic stability

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Anti-disturbance control based on uncertain data 20

Anti-disturbance control based on uncertain data

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3rd International Conference on Software Engineering and Information Management, ICSIM 2020 - and its Workshop 2020 the 3rd International Conference on Big Data and Smart Computing, ICBDSC 2020

作者： Cheng, Peng Pan, Feng Yin, Yanyan Kong, Lingshuang Wang, Song Key Laboratory of Advanced Process Control for Light Industry Ministry of Education School of Internet of Things Jiangnan University Wuxi214122 China School of Electrical Engineering Computing and Mathematical Sciences Curtin University PerthWA6102 Australia College of Electrical and Information Engineering Hunan University of Technology Zhuzhou412007 China

ISBN: (纸本)9781450376907

In this paper, we describe a novel method for constructing probabilistic robust disturbance rejection control for systems contain uncertain data in which a scenario optimization method is used to deal with the nonlinear and unbounded uncertainties. For anti-disturbance, a reduced order disturbance observer is considered and a state-feedback controller is designed. Sufficient conditions are presented to ensure that the resulting closed-loop system is stable and a prescribed H performance index is satisfied. A numerical example is presented to illustrate the effectiveness of the techniques proposed and analyzed. © 2020 Association for Computing Machinery.

关键词： Closed loop systems

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Self-triggered consensus control for multi-agent systems

Self-triggered consensus control for multi-agent systems

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International Conference on Information and Automation (ICIA)

作者： Yanchao Shen Huaicheng Yan Gang Feng Hao Zhang Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China Department of Mechanical and Biomedical Engineering City University of Hong Kong Kowloon Hong Kong

ISBN: (纸本)9781479913329;9781479940998

In this paper, self-triggered consensus control problem is investigated for a class of multi-agent systems. Each agent computes its next update time instance at the predefined time. This control strategy extends substantially the existing work on event-triggered control, because in the self-triggered deployment the agents have no need to maintain the track of the state error that triggers the actuation between continuous update instants. A distributed self-triggered control procedure is presented for a special first-order multi-agents and is shown to achieve the rendezvous objective. The effectiveness of the proposed control method is illustrated by a numerical example.

关键词： Multi-agent systems Measurement errors Decentralized control Laplace equations educational institutions Topology

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An improved multi-stage nonlinear model predictive control with application to semi-batch polymerization

An improved multi-stage nonlinear model predictive control w...

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Asian control Conference

作者： Jinggao Sun Wuyue Yuan Rui Xue Mengling Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Shanghai China School of Information Science and Engineering East China University of Science and Technology Shanghai China

ISBN: (纸本)9781728102634

Nonlinear model predictive control (NMPC) has been widely applied in the chemical industry for its performance of dealing with the multiple input multiple output problem (MIMO) and handling constraints. However, the performance of NMPC would be affected by the accuracy of the model. The NMPC controller has to be robust to uncertainties in the model. In this paper, the scenario-tree based on multi-stage NMPC approach has been applied to the semi-batch polymerization reactor. In this approach, in order to ensure the reasonableness of the uncertain variables and scenario tree number, a Monte Carlo-based second-order nonlinear model and K-means cluster algorithm have been proposed. The weights of each scenario branches are also considered into variable. The simulation results show that the performance of the improved method is better and the variable weights has a good ability of improving the performance of controller.

关键词： Uncertainty optimization Polymers Inductors process control Monte Carlo methods chemicals

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Discrete-phase-randomized measurement-device-independent quantum key distribution

arXiv

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arXiv 2020年

作者： Cao, Zhu Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China

Measurement-device-independent quantum key distribution removes all detector-side attacks in quantum cryptography, and in the meantime doubles the secure distance. The source side, however, is still vulnerable to various attacks. In particular, the continuous phase randomization assumption on the source side is normally not fulfilled in experimental implementation and may potentially open a loophole. In this work, we first show that indeed there are loopholes for imperfect phase randomization in measurement-device-independent quantum key distribution by providing a concrete attack. Then we propose a discrete-phase-randomized measurement-device-independent quantum key distribution protocol as a solution to close this source-side loophole. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum cryptography

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