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第33届中国控制与决策会议

作者： Jinggao Sun Xianfeng Chen Guanghao Su Hongguang Pan Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology School of Electrical and Control Engineering Xi'an University of Science and Technology

The application of traditional adaptive control algorithm usually depends on the precise mathematical model of process,but it is difficult to establish a mathematical model for a dynamic *** existing Model Free Adaptive(MFA) control algorithm structure is based on Back Propagation(BP) Neural Network,which does not fully take into account the continuous characteristic relationship between the input timing error *** to this actual problem,an improved MFA control algorithm based on Gated Recurrent Unit(GRU) network is proposed in this paper,compared with BP network,GRU network has more advantages in processing timing *** fully considers the information of error sequence,and more appropriate manipulated variable could be generated automatically to satisfy the demand of an open-loop stable and controllable single-variable,multivariable or large delay process system without the need for complicated manual adjustments,quantitative knowledge of the process or the identifier of the controlled system and learning *** results demonstrate that the GRU-MFA learning algorithm performs better in terms of stability,response speed and adaptability than the BP-MFA algorithm without human intervention.

关键词： Model free adaptive control Timing error sequences Gated recurrent unit Learning algorithm

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Improved LMI-based conditions for designing of PD-type ILC laws for linear batch processes over two-dimensional setting

Improved LMI-based conditions for designing of PD-type ILC l...

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International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： Robert Maniarski Wojciech Paszke Hongfeng Tao Shoulin Hao Institute of Automation Electronic and Electrical Engineering University of Zielona Góra Zielona Góra Poland Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi China Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China

ISBN: (纸本)9781665476881

This paper considers the problem of designing of iterative learning control (ILC) laws for linear batch processes. Unlike the majority of existing results about ILC law design for linear batch processes over repetitive/two-dimensional setting where Lyapunov theory is applied, this study is focused on formulating the ILC law design procedures by transforming it into an equivalent problem of (structural) stability analysis for a linear Roesser model for two-dimensional (2D) systems. Then, based on a non-conservative version of stability and stabilization conditions for linear 2D systems, suitable PD-type ILC laws are derived by the application of the linear matrix inequality (LMI) approach. Finally, a numerical example is given to show the validity of the proposed design procedure and some advantages are emphasized when compared to the existing alternatives.

关键词： State feedback Uncertainty Two dimensional displays Batch production systems Stability analysis Structural engineering Numerical models

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Novel Ensemble Modeling Method for Enhancing Subset Diversity Using Clustering Indicator Vector Based on Stacked Autoencoder

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Computer Modeling in Engineering & Sciences 2019年第10期121卷 123-144页

作者： Yanzhen Wang Xuefeng Yan Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and TechnologyShanghai200237China

A single model cannot satisfy the high-precision prediction requirements given the high nonlinearity between *** contrast,ensemble models can effectively solve this *** key factors for improving the accuracy of ensemble models are namely the high accuracy of a submodel,the diversity between subsample sets and the optimal ensemble *** study presents an improved ensemble modeling method to improve the prediction precision and generalization capability of the *** proposed method first uses a bagging algorithm to generate multiple subsample ***,an indicator vector is defined to describe these subsample ***,subsample sets are selected on the basis of the results of agglomerative nesting clustering on indicator vectors to maximize the diversity between ***,these subsample sets are placed in a stacked autoencoder for ***,XGBoost algorithm,rather than the traditional simple average ensemble method,is imported to ensemble the model during *** machine learning public datasets and atmospheric column dry point dataset from a practical industrial process show that our proposed method demonstrates high precision and improved prediction ability.

关键词： Ensemble model deep learning bagging stacked autoencoder XGBoost

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Experimental study of core and edge fluctuations by reflectometry on EAST tokamak

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Plasma Science and Technology 2021年第7期23卷 8-14页

作者： Zhen ZHOU Tao ZHANG Mingfu WU Kaixuan YE Fubin ZHONG Jia HUANG Kangning GENG Yukai LIU Gongshun LI Haoming XIANG Yumin WANG Fei WEN Sanqiu LIU Jiangxi Province Key Laboratory of Fusion and Information Control Institute of Fusion Energy and Plasma ApplicationDepartment of PhysicsNanchang UniversityNanchang 330031People’s Republic of China Institute of Plasma Physics Chinese Academy of SciencesHefei 230031People’s Republic of China University of Science and Technology of China Hefei 230026People’s Republic of China Advanced Energy Research Center Shenzhen UniversityShenzhen 518060People’s Republic of China Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Optoelectronic EngineeringShenzhen UniversityShenzhen 5180602People’s Republic of China

An eight-channel poloidal correlation reflectometer(PCR)with O-mode polarization has been installed in the EAST tokamak to measure the fluctuations from core to *** PCR launches eight different frequency microwaves(20.4,24.8,33,40,42.4,48,52.6,57.2 GHz)into the plasma from the low field side and two poloidally separated antennae are used to receive the reflected *** a result,the diagnostic can measure fluctuations in eight(radial)×two(poloidal)spatial *** diagnostic has been applied to study the core and edge pedestal fluctuations during an inter-ELM phase in H-mode *** inter-ELM phase can be divided into two *** the first stage,a low frequency(<50 kHz)broadband fluctuation dominates in the pedestal gradient *** the second stage,this fluctuation is strongly suppressed and quasi-coherent fluctuations(QCFs)*** QCF’s amplitude increases with the pedestal density gradient,implying density gradient driven *** the core fluctuations inside the pedestal show no evident changes during the inter-ELM phase.

关键词： core fluctuation edge fluctuation reflectometry

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Improved spectral model building for using ATR-FTIR spectroscopy to measure solution concentration during cooling crystallization

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IFAC-PapersOnLine 2022年第7期55卷 833-838页

作者： Jingxiang Liu Tao Liu Yan Cui Xiaojing Pei School of Marine Electrical Engineering Dalian Maritime University Dalian 116026 P. R. China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian 116024 P. R. China Institute of Advanced Control Technology Dalian University of Technology Dalian 116024 P. R. China

To ensure in-situ measurement accuracy on the solution concentration during cooling crystallization process, an improved spectral model building method is proposed in this paper for application of the attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy. The traditional partial least-squares (PLS) model is modified into a functional regression form for expressing the relationship between the input variables of in-situ measured spectra and the output of solution concentration, so as to address the issue of insufficient samples for model calibration with respect to the high-dimension of spectral variables for measurement. The widely used DB4 wavelet functions are taken as basis functions to approximate the smooth functions in the proposed functional regression model, by virtue of their multi-scale and orthogonal properties to procure good accuracy. Accordingly, a parameter estimation algorithm named wavelet partial-least-squares is proposed for the spectral model calibration. The application to measure the solution concentration of L-glutamic acid (LGA) cooling crystallization process well demonstrates the effectiveness and merit of the proposed method.

关键词： wavelet functional partial least-squares in-situ measurement by ATR-FTIR spectroscopy cooling crystallization process spectral calibration model

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Trajectory planning in 3D dynamic environment with non-cooperative agents via fast marching and Bézier curve

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Cyber-Physical Systems 2019年第2期5卷 119-143页

作者： Zong, Xuepeng Sun, Qiyu Yao, Dachen Du, Wei Tang, Yang Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China

In this paper, we propose a framework for trajectory planning in a 3D dynamic environment where other non-cooperative agents may obstruct the active quadrotor. A trajectory predictor is designed for the non-cooperative agent via least squares. In addition, based on Euclidean signed distance field (ESDF), a velocity map configuration is developed for both dynamic and static obstacles, and then utilized in fast marching method to find a feasible discrete path. The smooth and dynamic feasible trajectory generation problem is formulated as a quadratic programming (QP) problem, where a safe flight corridor generator is developed for safe constraints in a dynamic environment. Piecewise Bézier curves are used to represent the generated trajectory. With the help of flight corridor, along with the convex hull property of Bézier curve, the quadratic programming problem turns into a convex optimization problem. Simulation results show that the proposed approach is validated for collision avoidance in a dynamic environment. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Collision avoidance

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Influence of Lead Particles Loading on the Surface of Activated Carbon on the Performance of Lead Carbon Batteries and its Potential Mechanisms

SSRN

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SSRN 2022年

作者： Xiong, Yuanquan Sun, Xiaofei Yuan, Ye Jiang, Mei Shi, Lei Qi, Penggang Zhang, Ping Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and Environment Southeast University Nanjing210096 China Jiangxi Jinkang Advanced Material Sci-Tech Co. Ltd Taihe343700 China

We explore the influence of activated carbon loaded with lead particles on the performance of lead carbon batteries and its potential mechanisms. The results show that due to the chelation of phosphorus functional groups, the lead particles are almost lead phosphate, and its size grows with the increase of impregnation solution concentration. The lead particle loading can reduce the catalytic active sites of AC, but its gain effect on the lead-carbon connection structure can improve the utilization of active sites. In addition, due to the excellent hydrogen evolution inhibition effect of the phosphorus functional groups, the effect of lead particle loading on inhibiting hydrogen evolution is not obvious. During high rate partial state of charge, the accumulation of lead sulfate on the surface of AC destroys electronic path, while AC loaded with large size lead particles can maintain a stable conductive network with anode active material. © 2022, The Authors. All rights reserved.

关键词： Deposition rates

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Ferroelectrically tunable topological phase transition in In2Se3 thin films

arXiv

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arXiv 2024年

作者： Tian, Zhiqiang Zhu, Ziming Zeng, Jiang Liu, Chao-Fei Yang, Yurong Pan, Anlian Chen, Mingxing Key Laboratory for Matter Microstructure and Function of Hunan Province Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education School of Physics and Electronics Hunan Normal University Changsha410081 China School of Physics and Electronics Hunan University Changsha410082 China School of Science Jiangxi University of Science and Technology Ganzhou341000 China National Laboratory of Solid State Microstructures Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China Key Laboratory for Micro-Nano Physics and Technology of Hunan Province College of Materials Science and Engineering Hunan University Changsha410082 China State Key Laboratory of Powder Metallurgy Central South University Changsha410083 China

Materials with ferroelectrically switchable topological properties are of interest for both fundamental physics and practical applications. Using first-principles calculations, we find that stacking ferroelectric α-In2Se3 monolayers into a bilayer leads to polarization-dependent band structures, which yields polarization-dependent topological properties. Specifically, we find that the states with interlayer ferroelectric couplings are quantum spin Hall insulators, while those with antiferroelectric polarizations are normal insulators. We further find that In2Se3 trilayer and quadlayer exhibit nontrivial band topology as long as in the structure the ferroelectric In2Se3 bilayer is antiferroelectrically coupled to In2Se3 monolayers or other ferroelectric In2Se3 bilayer. Otherwise the system is topologically trivial. The reason is that near the Fermi level the band structure of the ferroelectric In2Se3 bilayer has to be maintained for the nontrivial band topology. This feature can be used to design nontrivial band topology for the thicker films by a proper combination of the interlayer polarization couplings. The topological properties can be ferroelectrically tunable using the dipole locking effect. Our study reveals switchable band topology in a family of natural ferroelectrics, which provide a platform for designing new functional devices. © 2024, CC BY.

关键词： Topology

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Factored Trace Lasso Based Linear Regression Methods: optimizations and Applications 5th

Factored Trace Lasso Based Linear Regression Methods: Optimi...

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5th International Conference on Cognitive Systems and Signal Processing, ICCSIP 2020

作者： Zhang, Hengmin Du, Wenli Liu, Xiaoqian Zhang, Bob Qian, Feng School of Information Science and Engineering Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Computer Information and Cyber Security Jiangsu Police Institute Nanjing210031 China Department of Computer and Information Science University of Macau 999078 China

ISBN: (纸本)9789811623356

Consider that matrix trace lasso regularized convex p -norm with p= 1, 2 regression methods usually have the higher computational complexity due to the singular value decomposition (SVD) of larger size matrix in big data and information processing. By factoring the matrix trace lasso into the squared sum of two Frobenius-norm, this work studies the solutions of both adaptive sparse representation (ASR) and correlation adaptive subspace segmentation (CASS), respectively. Meanwhile, the derived models involve multi-variable nonconvex functions with at least two equality constraints. To solve them efficiently, we devise the nonconvex alternating direction multiplier methods (NADMM) with convergence analysis satisfying the Karush-Kuhn-Tucher (KKT) conditions. Finally, numerical experiments to the subspace clustering can show the less timing consumptions than CASS and the nearby performance of our proposed method when compared with the existing segmentation methods like SSC, LRR, LSR and CASS. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Singular value decomposition

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Fuzzy H∞Sliding Mode control of Persistent Dwell-Time Switched Nonlinear Systems

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IEEE Transactions on Fuzzy Systems 2022年第12期30卷 5143-5151页

作者： Wang, Jing Wang, Haitao Yan, Huaicheng Wang, Yueying Shen, Hao Anhui University of Technology AnHui Province Key Laboratory of Special Heavy Load Robot The School of Electrical and Information Engineering Ma'anshan243032 China East China University of Science and Technology School of Information Science and Engineering Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai200237 China Shanghai University School of Mechatronic Engineering and Automation Shanghai201620 China

In this article, the fuzzy H∞ sliding mode control problem for continuous-time switched nonlinear systems is investigated. The switching signal conforms to the persistent dwell-time switching mechanism. The first objective of this article is to construct a switched integral sliding surface that not only accommodates the switched nonlinear model, but ensures that the sliding mode dynamics are globally uniformly exponentially stable and have an H∞ performance by the equivalent controller derived from the sliding surface. Another aim is to integrate the switched sliding mode control law to force the system trajectories to the sliding surface in a finite amount of time. Then, on the basis of the Lyapunov function technique, the specific form of the sliding mode control law gains is given first, and later the finite-time reachability of the sliding surface is ensured. Finally, the validity of the proposed switched sliding mode control method is validated by a numerical example. © 1993-2012 IEEE.

关键词： Nonlinear systems

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