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Strain boosts CO oxidation on Ni single-atom-catalyst supported by defective graphene

Chinese Chemical Letters 2023年第2期34卷 295-300页

作者： Quanguo Jiang Yushuai Qian Yuqing Liu Min Huang Zhimin Ao College of Mechanics and Materials Hohai UniversityNanjing 210098China Guangzhou Key Laboratory Environmental Catalysis and Pollution Control Guangdong Key Laboratory of Environmental Catalysis and Health Risk ControlInstitute of Environmental Health and Pollution ControlSchool of Environmental Science and EngineeringGuangdong University of TechnologyGuangzhou 510006China

In order to realize the sulfur and water resistance and facilitate the CO oxidation reactions,the effects of strain on the adsorption of CO,O_(2),SO_(2)and H_(2)O molecules on Ni single-atom-catalyst supported by single-carbon-vacancy graphene(Ni-SG) have been studied based on first principles *** shows that the compressive strain increases the adsorption energies of all above mentioned molecules on Ni-SG,where SO_(2)is adsorbed more strongly on Ni-SG than ***,in the presence of tensile strain,the adsorption energies decreases significantly when the molecules(O_(2)and SO_(2)) obtain electrons from NiSG,while the adsorption energies just slightly decrease when the molecules(CO and H_(2)O) lose electrons to Ni-SG,which finally achieves the preferential adsorption of CO and O_(2)molecules on Ni-SG by tensile *** addition,with tensile strain increasing to 10%,the rate-limited energy barrier along Eley-Rideal(ER) path monotonically increases from 0.77 eV to 0.98 eV,while the rate-limited energy barrier along Langmuir-Hinshelwood(LH) path monotonically decreases from 0.54 eV to 0.44 eV,indicating that the tensile strain can facilitate the LH mechanism while imped the ER mechanism on *** Hirshfeld charge and orbital levels of O_(2)and CO molecules are modulated by the tensile strain,which plays an important role for the decreasing of energy barriers for CO ***,the tensile strain can enhance the sulfur and water resistance of Ni-SG,as well as boost the CO oxidation reactions.

关键词： Strain effect Ni single-atom-catalyst Preferential adsorption CO oxidation First principles calculations

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Optimal Formation Tracking of Second-Order Multi-Agent Systems Without Velocity Interactions 43

Optimal Formation Tracking of Second-Order Multi-Agent Syste...

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43rd Chinese control Conference, CCC 2024

作者： Cao, Xiao-Ying Yi, Jing-Wen Chai, Li Wuhan University of Science and Technology School of Information Science and Engineering Wuhan430081 China Zhejiang University State Key Laboratory of Industrial Control Technology Zhejiang310027 China

ISBN: (纸本)9789887581581

In this paper, we address the optimal formation tracking issue of second-order multi-agent systems without velocity interactions. Firstly, by employing model transformation, the formation tracking problem is converted into a consensus problem for the deviation system, and necessary and sufficient conditions to achieve the formation tracking are obtained. Then, by establishing the direct relationship among the convergence rate, control gains and the network topology, analytical expressions of optimal control gains and the fastest convergence rate are derived by using the Routh-Hurwitz criterion. Finally, the effectiveness of the proposed algorithm is verified through numerical simulations. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： control theory

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Active Disturbance Rejection control of Dense Medium Separation Process Based on Improved PI-GPC

Active Disturbance Rejection Control of Dense Medium Separat...

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2024 China Automation Congress, CAC 2024

作者： Zhao, Xiaoyao Zhou, Fan Zhao, Jun Wang, Wei Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Ministry of Education Dalian China School of Control Science and Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9798350368604

Aiming at the complex field environment of dense medium separation process and the large amount of matrix inversion calculation in the traditional PI-GPC solution process, an adaptive stepped generalized predictive control method with proportional-integral structure (PI-ASGPC-LESO) based on active disturbance rejection strategy is proposed. Considering the large amount of calculation when PI-GPC solves the optimal control rate, an adaptive step factor dependent on the system adjustment error is introduced to constrain the change of the control amount, which reduces the amount of calculation in the solution process. In view of the complex on-site environment of dense medium separation and the large interference in the system, LESO is added to the loop to suppress external disturbances and compensate the unmodeled error of the system. In order to verify the effectiveness of the proposed method, a comparative experiment with traditional PI-GPC and PI-GPC-LESO was designed with the dense medium separation system of a coal preparation plant as the control object. The experimental results show that the proposed method effectively improves the dynamic performance of the system, with shorter adjustment time, smaller overshoot, and stronger anti-interference ability. © 2024 IEEE.

关键词： Disturbance rejection

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MMH-FE:AMulti-Precision and Multi-Sourced Heterogeneous Privacy-Preserving Neural Network Training Based on Functional Encryption

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Computers, Materials & Continua 2025年第3期82卷 5387-5405页

作者： Hao Li Kuan Shao Xin Wang Mufeng Wang Zhenyong Zhang The State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang550025China Key Laboratory of Computing Power Network and Information Security Ministry of EducationShandong Computer Science CenterQilu University of Technology(Shandong Academy of Sciences)Jinan250014China China Industrial Control Systems Cyber Emergency Response Team Beijing100040China

Due to the development of cloud computing and machine learning,users can upload their data to the cloud for machine learning model ***,dishonest clouds may infer user data,resulting in user data *** schemes have achieved secure outsourced computing,but they suffer from low computational accuracy,difficult-to-handle heterogeneous distribution of data from multiple sources,and high computational cost,which result in extremely poor user experience and expensive cloud computing *** address the above problems,we propose amulti-precision,multi-sourced,andmulti-key outsourcing neural network training ***,we design a multi-precision functional encryption computation based on Euclidean ***,we design the outsourcing model training algorithm based on a multi-precision functional encryption with multi-sourced ***,we conduct experiments on three *** results indicate that our framework achieves an accuracy improvement of 6%to 30%.Additionally,it offers a memory space optimization of 1.0×2^(24) times compared to the previous best approach.

关键词： Functional encryption multi-sourced heterogeneous data privacy preservation neural networks

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Novel Multimode Process Soft Sensing Methods Based on the Dynamic Mixture Variational Autoencoder Regression Model 11

Novel Multimode Process Soft Sensing Methods Based on the Dy...

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11th IEEE Data Driven control and Learning Systems Conference, DDCLS 2022

作者： Cui, Linlin Yao, Le Ge, Zhiqiang Song, Zhihuan Institute of Industrial Process Control College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

Modern industrial processes with increasing complexity not only contain nonlinear and multi-mode characteristics, but also are commonly the dynamic processes, which brought challenging problems to soft sensor modeling. In order to solve these problems, a dynamic mixture variational autoencoder regression (DMVAER) model is proposed for the nonlinear multi-mode modeling, which is suitable for industrial process quality prediction with multiple complex process characteristics. Furthermore, in order to deal with the problem of semi-supervised data with a large number of unlabeled samples, a semi-supervised dynamic mixture variational autoencoder regression (ssDMVAER) model is proposed, and the corresponding semi-supervised data sequence division method is adopted to make full use of the information in both labeled data and unlabeled data. Finally, in order to verify the feasibility and effectiveness of the proposed methods, the two models are applied to an actual industrial process of methanation furnace. The results show that the proposed methods have superior soft sensing performance than existing methods. © 2022 IEEE.

关键词： Mixtures

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A review of electrooxidation systems treatment of poly-fluoroalkyl substances (PFAS): electrooxidation degradation mechanisms and electrode materials

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Environmental science and Pollution Research 2024年第30期31卷 42593-42613页

作者： Shi, Lifeng Leng, Chunpeng Zhou, Yunlong Yuan, Yue Liu, Lin Li, Fuping Wang, Hao Key Laboratory of Bioelectrochemical Water Pollution Control Technology in Tangshan City North China University of Science and Technology Tangshan China College of Civil and Architectural Engineering North China University of Science and Technology Tangshan China Hebei Industrial Technology Institute of Mine Ecological Remediation Tangshan063000 China

The prevalence of polyfluoroalkyls and perfluoroalkyls (PFAS) represents a significant challenge, and various treatment techniques have been employed with considerable success to eliminate PFAS from water, with the ultimate goal of ensuring safe disposal of wastewater. This paper first describes the most promising electrochemical oxidation (EO) technology and then analyses its basic principles. In addition, this paper reviews and discusses the current state of research and development in the field of electrode materials and electrochemical reactors. Furthermore, the influence of electrode materials and electrolyte types on the deterioration process is also investigated. The importance of electrode materials in ethylene oxide has been widely recognised, and therefore, the focus of current research is mainly on the development of innovative electrode materials, the design of superior electrode structures, and the improvement of efficient electrode preparation methods. In order to improve the degradation efficiency of PFOS in electrochemical systems, it is essential to study the oxidation mechanism of PFOS in the presence of ethylene oxide. Furthermore, the factors influencing the efficacy of PFAS treatment, including current density, energy consumption, initial concentration, and other parameters, are clearly delineated. In conclusion, this study offers a comprehensive overview of the potential for integrating EO technology with other water treatment technologies. The continuous development of electrode materials and the integration of other water treatment processes present a promising future for the widespread application of ethylene oxide technology. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Electrochemical oxidation

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Fast Consensus of Discrete Multi-Agent Systems with Delay

Fast Consensus of Discrete Multi-Agent Systems with Delay

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2023 China Automation Congress, CAC 2023

作者： Huang, Mengya Yi, Jing-Wen Chai, Li Wuhan University of Science and Technology Engineering Research Center of Metallurgical Automation and Measurement Technology Wuhan430081 China College of Control Science and Engineering State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China

ISBN: (纸本)9798350303759

This paper studied the fast consensus of discrete multi-agent systems (MASs) with time delay. A consensus protocol incorporating memory information is formulated to accelerate consensus. The necessary and sufficient conditions to reach average consensus are provided. Furthermore, an optimal design of the fast consensus for MASs with small delay is given, and the explicit solutions of the fastest convergence speed and corresponding optimal control gains are deduced. Finally, the theoretical findings are validated through numerical simulations, underscoring the effectiveness of the nronosed annroach. © 2023 IEEE.

关键词： Multi agent systems

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Adaptive Attitude control for a Coaxial Tilt-Rotor UAV via Immersion and Invariance Methodology

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IEEE/CAA Journal of Automatica Sinica 2022年第9期9卷 1710-1713页

作者： Longlong Chen Zongyang Lv Xiangyu Shen Yuhu Wu Xi-Ming Sun the Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education and the School of Control Science and EngineeringDalian University of TechnologyDalian 116024China

Dear Editor,This letter is concerned with the attitude control for a novel tiltrotor unmanned aerial vehicle with two pairs of tiltable coaxial rotors and one rear *** immersion and invariance-based adaptive attitude controller for the tilt-rotor unmanned aerial vehicle is *** the proposed control strategy,an adaptive update law is specially designed to compensate for the uncertainties of damping *** stability of the resulting closed-loop coaxial tiltrotor unmanned aerial vehicle(CTRUAV)system is proved by the Lyapunov methodology and LaSalle’s invariance ***。

关键词： theory. invariance letter

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Dynamic Obstacle Avoidance Algorithm for Robot Arm Based on Deep Reinforcement Learning 11

Dynamic Obstacle Avoidance Algorithm for Robot Arm Based on ...

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11th IEEE Data Driven control and Learning Systems Conference, DDCLS 2022

作者： Cheng, Xiaowei Liu, Shan College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

A dynamic obstacle avoidance planning algorithm based on deep reinforcement learning is proposed for rigid manipulators. After the neural network interacts with the environment and learns, it can give real-time action strategies to guide the manipulator to avoid dynamic obstacles. This paper proposes a new state space description method suitable for manipulators and dynamic environments, and designs the corresponding collision detection method and reward value calculation function for this state description method. The test results in the simulation environment demonstrate the effectiveness of the method. © 2022 IEEE.

关键词： Reinforcement learning

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Attention-based Stacked Supervised Poisson Autoencoders for Defects Prediction in Casting-rolling process 11

Attention-based Stacked Supervised Poisson Autoencoders for ...

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11th IEEE Data Driven control and Learning Systems Conference, DDCLS 2022

作者： Zhang, Xinmin Song, Zhihuan Ge, Zhiqiang College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

In this paper, we propose an attention-based stacked supervised Poisson autoencoders (ASSPAE) modeling framework to predict the occurrence of defects in the casting-rolling process. ASSPAE is a novel deep learning model, which is designed based on the stacked supervised Poisson autoencoders and attention-based multi-feature fusion strategy. Stacked supervised Poisson autoencoders are a novel deep neural networks model, which is designed by integrating the Poisson regression network layer into the deep autoencoders framework. Compared with the conventional autoencoder-based models, the proposed stacked supervised Poisson autoencoders not only can capture the quality-relevant deep features of the data, but also is suitable for predicting the count-type quality variable. Furthermore, in order to efficiently leverage information present in different layers of the network, an attention-based multi-feature fusion strategy is integrated into the stacked supervised Poisson autoencoders modeling framework. The effectiveness of the proposed ASSPAE method is evaluated by its application to the cast-rolling process of a steelmaking plant. The application results show that the prediction accuracy of the proposed ASSPAE modeling method was improved by 32%, 31%, 24%, and 13% in Root Mean Square Error (RMSE) compared with the partial least square regression, support vector regression, Poisson regression, and stacked autoencoders-Poisson regression, respectively. © 2022 IEEE.

关键词： Network layers

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