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ControlService: a containerized solution for control-algorithm-as-a-service in cloud control systems

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Science China(Information Sciences) 2024年第8期67卷 172-189页

作者： Chenggang SHAN Runze GAO Zhen yang Wei ZHANG yuanqing XIA School of Artificial Intelligence Zaozhuang University School of Automation Beijing Institute of Technology

As an extension of networked control systems, cloud control systems(CCSs) have emerged as a new control paradigm to improve the service quality of emerging control missions, such as data-driven modeling and automated vehicles. Existing studies have used the workflow-based restructured method to optimize the computation-intensive algorithms in the CCSs. However, the challenges here are how to define and submit these algorithms' workflows as cloud services and execute these algorithms' workflows in a containerized manner. Based on these challenges, we propose a containerized solution for the control-algorithm-as-a-service(C3aS) in the CCSs, namely Control Service. It offers the control algorithm as a cloud workflow service and uses a customized workflow engine to realize the containerized execution. First, we employ a cloud workflow representation method to define a control algorithm into an abstract cloud workflow form. Afterward, we provide a cloud service representation of the abstract cloud workflow. Next, we design a workflow engine and submit the cloud service to this workflow engine to implement containerized execution of this cloud service in the CCSs. In the experiment, we discuss the cloud service form and containerized implementation of the subspace identification method. Experimental results show that the proposed Control Service has significant performance advantages in computational time, reduction percentage, and speedup ratio compared with the baseline method.

关键词： cloud control systems control-algorithm-as-a-service containerization workflow engine cloud workflow service subspace identification

Cloud control for IIoT in a cloud-edge environment

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Journal of Systems Engineering and Electronics 2024年第4期35卷 1013-1027页

作者： YAN Ce XIA yuanqing yang Hongjiu ZHAN Yufeng School of Automation Beijing Institute of TechnologyBeijing 100081China School of Electrical and Information Engineering Tianjin UniversityTianjin 300072China

The industrial Internet of Things(IIoT)is a new indus-trial idea that combines the latest information and communica-tion technologies with the industrial *** this paper,a cloud control structure is designed for IIoT in cloud-edge envi-ronment with three modes of *** 5G based IIoT,the time sensitive network(TSN)service is introduced in transmission network.A 5G logical TSN bridge is designed to transport TSN streams over 5G framework to achieve end-to-end *** a transmission control protocol(TCP)model with nonlinear disturbance,time delay and uncertainties,a robust adaptive fuzzy sliding mode controller(AFSMC)is given with control rule *** workflows are made up of a series of subtasks that are linked by the dependencies between sensor datasets and task *** workflow scheduling is a non-deterministic polynomial(NP)-hard problem in cloud-edge *** adaptive and non-local-convergent particle swarm optimization(ANCPSO)is designed with nonlinear inertia weight to avoid falling into local optimum,which can reduce the makespan and cost *** and experiments demonstrate that ANCPSO has better performances than other classical algo-rithms.

关键词： 5G and time sensitive network(TSN) industrial Internet of Things(IIoT)workflow transmission control protocol(TCP)flows control cloud edge collaboration multi-objective optimal scheduling

Cloud-based control systems: towards the control architecture in cloud computing era

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Science China(Information Sciences) 2024年第10期67卷 386-388页

作者： yuanqing XIA School of Automation Beijing Institute of Technology Zhongyuan University of Technology

Era of cloud computing. After Google introduced the concept of “cloud computing”, this paradigm experienced rapid growth and found widespread applications across various industries, establishing itself as one of the... 详细信息

关键词： Cloud computing architecture

Global warming strengthens the association between ENSO and the Asian-Australian summer monsoon

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Science China Earth Sciences 2024年第1期67卷 309-312页

作者： Bao yang Minhui he School of Geography and Ocean Science Nanjing UniversityNanjing 210093China Key Laboratory of Desert and Desertification Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China

Previous studies have widely reported the linkages between Asian-Australian monsoon and the ENSO(Wu,2008;Azad and Rajeevan,2016;Chen et al.,2020;Shekhar et al.,2022;Zhang J et al.,2022;Chen et al.,2023;Hau et al.,2023;heidemann et al.,2023).It is well accepted that the monsoon is weaker during the El Niño phase and stronger during the La Niña *** example,an anomalously strong western Pacific subtropical high in 2020,related to the La Niña event.

关键词： event monsoon Asian

A dicistrovirus increases pupal mortality in Spodoptera frugiperda by suppressing protease activity and inhibiting larval diet consumption

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Journal of Integrative Agriculture 2024年第8期23卷 2723-2734页

作者： meixue Sun Tong Li Yingjie Liu Kenneth Wilson Xingyu Chen Robert I.Graham Xianming yang Guangwei Ren Pengjun Xu Key Laboratory of Tobacco Pest Monitoring&Integrated Management Tobacco Research InstituteChinese Academy of Agricultural SciencesQingdao 266101China Institute of Plant Protection Henan Academy of Agricultural SciencesZhengzhou 450000China Staff Development Institute of China National Tobacco Corporation Zhengzhou 450000China Lancaster Environment Centre Lancaster UniversityLancaster LA14YWUK Department of Rural Land Use Scotland’s Rural CollegeCraibstone CampusAberdeen AB01ABUK State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijing 100193China

Understanding interactions between viruses and their hosts is conducive to enabling better application of viruses as biocontrol *** viruses carried by parasitic wasps enhance the parasitic efficiency of wasp-larvae by protecting them against the immune system of their Lepidopteran ***,the relationship between prey pests and viruses found in predatory natural enemies remains ***,we report the interaction between Arma chinensis virus-1(AcV-1),originally isolated from a predatory natural enemy,Arma chinensis(hemiptera:Pentatomidae),and one of its prey species,Spodoptera frugiperda(Lepidoptera:Noctuidae).The results showed that the AcV-1 virus appeared harmful to the novel host *** by inhibiting larval diet consumption and increasing pupal ***,sequencing data indicated that the virus altered the gene expression profiles of *** analysis showed that the proteasome and phagosome pathways related to protein degradation and immune response were significantly *** the expression levels of digestive enzyme genes did not change significantly,the total protease activity of AcV-1 virus-positive individuals was significantly decreased,suggesting that the virus inhibited diet consumption of *** via the down-regulation of digestive enzyme *** results indicate that a virus initially isolated in a predatory natural enemy can decrease the fitness of its prey *** virus was found to impact the host proteasome and phagosome pathways related to protein degradation and immunity,providing a potential mechanism to enhance controlling efficiency.

关键词： Arma chinensis virus-1 diet consumption fitness transcriptome protease activity

A deep reinforcement learning approach to gasoline blending real-time optimization under uncertainty

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Chinese Journal of Chemical Engineering 2024年第7期71卷 183-192页

作者： Zhiwei Zhu Minglei yang Wangli he Renchu he Yunmeng Zhao Feng Qian Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

The gasoline inline blending process has widely used real-time optimization techniques to achieve optimization objectives,such as minimizing the cost of ***,the effectiveness of real-time optimization in gasoline blending relies on accurate blending models and is challenged by stochastic ***,we propose a real-time optimization algorithm based on the soft actor-critic(SAC)deep reinforcement learning strategy to optimize gasoline blending without relying on a single blending model and to be robust against *** approach constructs the environment using nonlinear blending models and feedstocks with *** algorithm incorporates the Lagrange multiplier and path constraints in reward design to manage sparse product *** abstracted states facilitate algorithm convergence,and the normalized action vector in each optimization period allows the agent to generalize to some extent across different target production *** these well-designed components,the algorithm based on the SAC outperforms real-time optimization methods based on either nonlinear or linear *** even demonstrates comparable performance with the time-horizon based real-time optimization method,which requires knowledge of uncertainty models,confirming its capability to handle uncertainty without accurate *** simulation illustrates a promising approach to free real-time optimization of the gasoline blending process from uncertainty models that are difficult to acquire in practice.

关键词： Deep reinforcement learning Gasoline blending Real-time optimization Petroleum Computer simulation Neural networks

A Fractional-Order Ultra-Local Model-Based Adaptive Neural Network Sliding Mode Control of n-DOF Upper-Limb Exoskeleton With Input Deadzone

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 760-781页

作者： Dingxin he HaoPing Wang yang Tian Yida Guo the School of Automation Nanjing University of Science and TechnologyNanjing 210094China IEEE Norinco Group Institute of Navigation and Control Technology Beijing 100089China

This paper proposes an adaptive neural network sliding mode control based on fractional-order ultra-local model for n-DOF upper-limb exoskeleton in presence of uncertainties,external disturbances and input *** the model complexity and input deadzone,a fractional-order ultra-local model is proposed to formulate the original dynamic system for simple controller ***,the control gain of ultra-local model is considered as a *** fractional-order sliding mode technique is designed to stabilize the closed-loop system,while fractional-order time-delay estimation is combined with neural network to estimate the lumped ***,a fractional-order ultra-local model-based neural network sliding mode controller(FO-NNSMC) is ***,to avoid disadvantageous effect of improper gain selection on the control performance,the control gain of ultra-local model is considered as an unknown ***,the Nussbaum technique is introduced into the FO-NNSMC to deal with the stability problem with unknown ***,a fractional-order ultra-local model-based adaptive neural network sliding mode controller(FO-ANNSMC) is ***,the stability analysis of the closed-loop system with the proposed method is presented by using the Lyapunov ***,with the co-simulations on virtual prototype of 7-DOF iReHave upper-limb exoskeleton and experiments on 2-DOF upper-limb exoskeleton,the obtained compared results illustrate the effectiveness and superiority of the proposed method.

关键词： Adaptive control input deadzone model-free control n-DOF upper-limb exoskeleton neural network

PARE:Privacy-Preserving Data Reliability Evaluation for Spatial Crowdsourcing in Internet of Things

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Computers, Materials & Continua 2024年第8期80卷 3067-3084页

作者： Peicong he yang Xin Yixian yang School of Cyberspace Security Beijing University of Posts and TelecommunicationsBeijing100876China

The proliferation of intelligent,connected Internet of Things(IoT)devices facilitates data ***,task workers may be reluctant to participate in data collection due to privacy concerns,and task requesters may be concerned about the validity of the collected ***,it is vital to evaluate the quality of the data collected by the task workers while protecting privacy in spatial crowdsourcing(SC)data collection tasks with *** this end,this paper proposes a privacy-preserving data reliability evaluation for SC in IoT,named ***,we design a data uploading format using blockchain and Paillier homomorphic cryptosystem,providing unchangeable and traceable data while overcoming privacy ***,based on the uploaded data,we propose a method to determine the approximate correct value region without knowing the exact ***,we offer a data filtering mechanism based on the Paillier cryptosystem using this value *** evaluation and analysis results show that PARE outperforms the existing solution in terms of performance and privacy protection.

关键词： Spatial crowdsourcing privacy-preserving data evaluation IoT blockchain

A Comparative Study on Factors Influencing Food Security in China and India

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Asian Agricultural Research 2024年第2期16卷 12-15页

作者： Shaowen yang meixue QIU School of Business Lingnan Normal UniversityZhanjiang 524048China

This paper analyzes and compares the key factors influencing food security in two populous countries(China and India),and cate-gorizes them into three types:agricultural production,economic development and income level,and income *** the prevalence of undernourishment as an indicator of food security,the paper empirically tests the degree of impact of various factors on food security in both countries using Tobit regression and Newey regression *** study finds that improving the level of economic development can significantly enhance food security in both countriesꎻreducing the Gini coefficient has a significant impact on India,but not on Chinaꎻincreasing the agricultural production per capita has a much greater effect on China than on ***,both countries should take measures that are both similar and different according to their national conditions to improve their food security level.

关键词： Food security Influencing factors Comparative study Econometric model