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第41届中国控制会议

作者： Jin-Meng Xu Yong He Wen-Hu Chen Zhe-Li Yuan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper focuses on the exponential stability analysis of generalized neural networks(GNNs) with time-varying delays,where the time delays include several intermittent large-delay periods(LDPs).First,the improved piecewise augmented Lyapunov-Krasovskii functional(LKF) candidate is constructed based on the delay-dependent state ***,some advanced inequalities are adopted to estimate the derivative of LKF *** with switching techniques,an exponential stability criterion with less conservativeness is *** last,a numerical example is used to verify the advantage of the proposed criterion.

关键词： Time-varying delay Switched delay system Large-delay period Exponential stability

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National Assessment of PFAS in Landfill Leachate in China: Non-Negligible Ultrashort-Chain Components and Socioeconomic Impacts

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Environmental Science and Technology 2025年 2025 May 20页

作者： Chen, Tianyu He, Xiao-Song Zhang, Qiurui He, Anen Liu, Chao Sun, Yue Wei, Si Chen, Ruiqing Li, Lingxiangyu Li, Juan Lv, Jitao Wang, Xianwei Wang, Yawei Jiang, Guibin State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China College of Resources and Environment University of Chinese Academy of Sciences Beijing 100049 China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing 100012 China School of Environment Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou 310024 China State Key Lab of Pollution Control & Resource Reuse Nanjing University Nanjing 210023 China Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances Institute of Environment and Health Jianghan University Wuhan 430056 China

The persistent leaching of per- and polyfluoroalkyl substances (PFAS) from landfills poses significant environmental risks, particularly to surrounding water systems. However, information regarding the occurrence and fate of PFAS in landfills across the country is limited. Here we investigated the distribution profiles and sources of 60 PFAS in landfill leachate across 31 provinces in mainland of China, showing the total levels of ∑PFAS from 3.05 × 10³ to 1.58 × 10⁵ ng/L. Structural equation modeling revealed that socioeconomic conditions directly influenced the residue levels of PFAS in landfill leachate. Furthermore, these conditions, in conjunction with climatic factors, influenced the chemical composition of landfill leachate, thereby indirectly affecting the distribution of PFAS. The estimated ∑PFAS emission flux from landfill leachate in China was 419 kg/year, with ultrashort-chain congeners as the predominant, omnipresent congeners, accounting for 37%. Our study first provided comprehensive evidence to demonstrate landfills were important sources of PFAS in China, which would help to understand the ecological risks of emerging PFAS, especially for ultrashort-chain PFAS, and eventually promoting the conduction effective environmental monitoring and pollution control strategies for PFAS. © 2025 American Chemical Society.

关键词： emission flux landfill leachate per- and polyfluoroalkyl substances structural equation model

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Research on Electricity Price Sensitivity of Smart Park Facing Source and Load Uncertainty 41

Research on Electricity Price Sensitivity of Smart Park Faci...

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第41届中国控制会议

作者： Jie Cai Zhijian Fang Wenhe Peng Zihan Zhang Junwen He School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Due to the uncertainty of photovoltaic power generation and the disorder of large-scale electric vehicle charging,new challenges have been brought to the security and stability of the smart park distribution network,hybrid storage plays a significant role in smoothing power *** the goal of maximizing the annual earnings of energy storage,this paper proposes a real-time electricity price model based on the electricity price sensitivity of the tie line power fluctuation *** is verified by numerical example simulation,and the results show that,the model plays a very good role in smoothing power fluctuations and improving the economic benefits of energy storage.

关键词： Smart park hybrid energy storage real-time electricity price electricity price sensitivity

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Research on Energy Storage control Strategy Considering Economy 41

Research on Energy Storage Control Strategy Considering Econ...

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第41届中国控制会议

作者： Zihan Zhang Zhijian Fang Jie Cai Wenhe Peng School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Energy storage system is generally used to ensure the stability and reliability of *** the system generally contains multiple energy storage units,and due to the process,material and other aspects of the limitation,the initial state of charge(SOC) of each energy storage unit cannot be guaranteed to be completely equal,which leads to the shortening of the life of energy storage unit,and affect the economic benefits of energy storage system ***,this paper analyzes the influence conditions between energy storage units according to the calculated formula of energy storage unit *** value of charge between energy storage systems is analyzed through the active power output of the system,and then the difference is obtained by comparing the value of charge of each energy storage unit with the average value of charge of each *** the iterative algorithm is used to update the state of each node,and the balance factor is introduced to gradually reduce the difference on the basis of droop control to optimize and control the output of these energy storage nodes to achieve SOC *** the economic benefits such as maintenance cost of energy storage system are ***,a working model of microgrid is established and the feasibility and economy of this method are verified by simulation.

关键词： Economy Micro grid Energy storage system Droop control SOC balance

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Stability Analysis of Discrete-Time Delayed Neural Networks via A Cubic Function Negative-Determination Lemma 41

Stability Analysis of Discrete-Time Delayed Neural Networks ...

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第41届中国控制会议

作者： Wen-Hu Chen Fei Long Cui Zhu Chuan-Ke Zhang Yong He School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper is concerned with the stability analysis of discrete-time neural networks with a time-varying ***,an improved augmented Lyapunov-Krasovskii functional(LKF) is established by adding single/double-summation ***,by utilizing summation inequalities,the forward difference of the constructed functional is estimated as a cubic function with respect to the *** applying the cubic function negative-determination lemma,a less conservative stability criterion is obtained,whose advantages are demonstrated via a numerical example.

关键词： Discrete-time neural networks time-varying delay cubic function negative-determination lemma stability analysis

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Research on Virtual USB Storage in Remote File Transfer 41

Research on Virtual USB Storage in Remote File Transfer

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第41届中国控制会议

作者： Jie Li Weihua Cao Zhicheng Zhao Han Peng School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Virtual USB storage technology is an application technology that integrates Universal Serial Bus(USB) virtualization,file system virtualization and reliable file data transfer,which is often applied to virtual file transfer in data *** the current traditional virtual USB storage technology relies on specific software and poor system compatibility,this paper proposes a hardware-based virtual USB storage solution that uses the built-in USB driver of each operating system to map the local USB storage device to the remote controlled server to achieve file reading and *** show that the scheme proposed in this paper has the advantages of simple implementation,good system compatibility,safe and stable *** technology has been successfully applied to the data room management of an enterprise.

关键词： USB storage virtualization file transfer remote mapping

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Image Semantic Segmentation Scheme based on XGBoost combination with Convolution Feature Extraction 41

Image Semantic Segmentation Scheme based on XGBoost combinat...

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第41届中国控制会议

作者： Zichen Dai Xuewen Liu Chi Xu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Aiming at the problem that the existing image semantic segmentation schemes based on convolutional neural network require a large number of training data sets and high training cost,this paper presents a novel scheme for image semantic segmentation based on extreme gradient boosting(XGBoost),a scalable tree boosting system and the combination of convolution feature extraction(CFE).The scheme consists of three ***,convolution operation is performed on a small amount of RGB pixel information of the image processed by Gaussian filtering to acquire more multi-dimensional image feature ***,some preprocessing techniques of image feature information,including feature normalization and image label pixel number uniformity are performed to match the ***,the preprocessed image feature information and corresponding labels are input into XGBoost to train and predict the data of the test *** simulation and practical tests,compared with other commonly used few data classification algorithms like k-Nearest-Neighbor(kNN) and Support-VectorMachine(SVM),this scheme can achieve high precision pixel-level image semantic segmentation under the condition of lower training cost.

关键词： Image Semantic Segmentation Convolutional Feature Extraction XGBoost Gaussian Filtering Low Training Cost

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An Improved SimAM Based CNN for Facial Expression Recognition 41

An Improved SimAM Based CNN for Facial Expression Recognitio...

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第41届中国控制会议

作者： Lan-Qin Zhang Zhen-Tao Liu Cheng-Shan Jiang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

To achieve effective deployment of the facial expression recognition(FER) system on marginalized devices,we designed a lightweight neural network based on ShufflenetV2,which can balance the relationship between the number of network parameters and the accuracy of *** this paper,a non-parameter SimAM attention module that can extract 3 D features is employed in the ShufflenetV2 network to enhance the spatial features extraction ability of the network,and the shortcut branch is introduced in Bottleneck for information interaction and feature fusion between *** tests were carried out on the RaFD dataset,and the recognition accuracy reaches 98.04%,while the number of model parameters is only 1.4 M.

关键词： Facial expression recognition Shufflenet SimAM Lightweight Neural Network

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Optimal Allocation of Energy Storage in Smart Park Distribution Network for Power Fluctuation Regulation of Tie Line Oriented to Source-load Uncertainty 41

Optimal Allocation of Energy Storage in Smart Park Distribut...

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第41届中国控制会议

作者： Wenhe Peng Zhijian Fang Jie Cai School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The randomness of photovoltaic power generation and the disorder of electric vehicle charging have a significant impact on the transmission capacity of the smart park tie *** storage can help to stabilize the power fluctuation of the tie line and improve distribution network operation *** this paper,the park's source and load uncertainty models are established to determine the original transmission power of the distribution network tie line,and then the tie line's power control model is established to ensure that the power fluctuation rate of the distribution network tie line varies within a certain *** power required for hybrid energy storage stabilization is calculated,and the high-pass filtering algorithm is used to allocate *** amount of power required to stabilize the supercapacitor and lithium battery is *** hybrid energy storage capacity configuration model is built on top of *** hybrid energy storage constraints are constructed using the maximum annual income of the hybrid energy storage as the objective function,and the adaptive particle swarm optimization(APSO) is used to solve the problem,resulting in the hybrid energy storage's optimal capacity ***,an example is used to simulate the *** simulation results show that this method can keep the tie line's power fluctuation rate within a narrow range as much as possible,which can be used as a reference for a smart park's energy storage configuration.

关键词： photovoltaic power generation electric vehicles hybrid energy storage tie-line power fluctuation adaptive particle swarm optimization

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An Analysis Method for Influence of BF Operating Parameters on GUR Based on Convergent Cross Mapping Algorithm 41

An Analysis Method for Influence of BF Operating Parameters ...

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第41届中国控制会议

作者： Chenglin Yang Jianqi An Weijun Li Wenkai Hu Xin Chen School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

A blast furnace(BF),which includes a variety of complex physical changes and chemical reactions,has many operating parameters that affect its smelting ***,the relationship between operation parameters and state parameters is complex and the influence of time delay between operation parameters and state parameters is difficult to be ***,this paper proposes a convergent cross mapping algorithm(CCM) incorporating delay analysis to solve this ***,using the CCM algorithm to calculate the correlation coefficients between operation parameters and state parameters,and judge the causal relationship between each operating parameter and state parameter by the convergence of the CCM ***,determine the specific delay time and time delay interval of BF operating variables to state variables through fusion time delay *** that the selection of embedding dimension has an important influence on the result of causality *** paper uses the cross-validation method to determine the optimal embedding ***,by comparing the mechanism analysis and the experimental results,the effectiveness of this method in determining causality and delay time of BF variables is verified.

关键词： Blast Furnace Operation Parameters causal relationship Convergence Cross Mapping Time Delay

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