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European control Conference (ECC)

作者： Mikhail Kakanov Sandesh Athni Hiremath Andreas Voigt Kai Sundmacher Naim Bajcinca Department of Mechanical and Process Engineering RPTU Kaiserslautern Kaiserslautern Germany Faculty of Process and Systems Engineering Institute of Process Engineering Universitätsplatz 2 Magdeburg Germany

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

In this work, we introduce a novel learning-based controller tailored for autonomous control of a batch-type precipitation process involving calcium and magnesium carbonates. The process takes in fluid containing valuable materials such as Ca +2 and Mg+2 ions, along with impurities and seed particles, to facilitate the sequential precipitation of these ions into their respective carbonates. The controller's goal is to attain a specified size of the precipitated particles under different process uncertainties. Here the residence time, i.e. the time allowed for the ions to remain in fluid phase, is used as the manipulation variable. The controller is designed as a solution to a stochastic optimal control problem and implemented using machine learning techniques. For the prediction model, we use convolutional neural networks (CNN) and for the control synthesis, we use a type of recurrent neural networks (RNNs). The designed control is learnable, adaptable to varying process dynamics and robust to random disturbances in the process, thus resulting in a learnable adaptive, and robust controller (LARC). The effectiveness of LARC is validated through different simulation-based tests.

关键词： Training Temperature measurement Adaptation models Precipitation Recurrent neural networks process control Stochastic processes

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New formula for predicting the plastic buckling pressure of steel torispherical heads under internal pressure

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Journal of Zhejiang University-Science A(Applied Physics & engineering) 2024年第8期25卷 618-630页

作者： Sheng YE Keming LI Jinyang ZHENG Shan SUN Institute of Process Equipment Zhejiang UniversityHangzhou 310027China Engineering Research Center for High Pressure Process Equipment and Safety of Ministry of Education Hangzhou 310027China State Key Laboratory of Fluid Power and Mechatronic Systems Hangzhou 310058China

Thin-walled torispherical heads under internal pressure can fail by plastic buckling because of compressive circumferential stresses in the head ***,existing formulas still have limitations,such as complicated expressions and low accuracy,in determining buckling *** this paper,we propose a new formula for calculating the buckling pressure of torispherical heads based on elastic-plastic analysis and experimental ***,a finite element(FE)method based on the arc-length method is established to calculate the plastic buckling pressure of torispherical heads,considering the effects of material strain hardening and geometrical *** buckling pressure results calculated by the FE method in this paper have good consistency with those of BOSOR5,which is a program for calculating the elastic-plastic bifurcation buckling pressure based on the finite difference energy ***,the effects of geometric parameters,material parameters,and restraint form of head edge on buckling pressure are ***,a new formula for calculating plastic buckling pressure is developed by fitting the curve of FE results and introducing a reduction factor determined from experimental ***,based on the experimental results,we compare the predictions of the new formula with those of existing *** is shown that the new formula has a higher accuracy than the existing ones.

关键词： Torispherical head Plastic buckling Elastic-plastic analysis Prediction formula Finite element method

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Bringing Human Cognition to Machines: Introducing Cognitive Edge Devices for the process Industry

Bringing Human Cognition to Machines: Introducing Cognitive ...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Zohra Charania Lucas Vogt Anselm Klose Leon Urbas Chair of Process Control Systems TU Dresden Dresden Germany Process-to-Order Lab TU Dresden Dresden Germany

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

In the era of Industry 4.0 (I4.0), Cyber Physical Production systems (CPPS) and upcoming industrial transformations, there's a great impulse for smarter, more connected, and adaptable industries. To support this shift, our industrial devices need to be upgraded. They should not only do their usual tasks reliably but also support new technologies like Artificial Intelligence (AI), Machine Learning (ML), Digital Twins (DT), etc. seamlessly. This is where cognition in devices becomes significant. This paper showcases an innovative cognitive system design for edge devices for control, drawing inspiration from the well-established concept of cognitive control. This approach highlights the symphonious existence of conscious (controlled) and unconscious (automatic) processing. The system architecture demonstrates the concurrent processing of real-time tasks, like control loops, field devices, etc., and non-real-time tasks such as AI, ML, Neural Network (NN) models, DT models, etc. within the edge device. This corresponds to the unconscious and conscious cognitive functions in human beings. This paper outlines the characteristics of such cognitive devices. The potential technologies that can help in achieving these characteristics like virtualization, multi-core edge devices, concurrency, etc. have also been explored. Additionally, a proof-of-concept demonstration use case has been presented that exhibits the implementation of the Open Cognitive control systems (OCCS) architecture in edge devices. This work sets a stepping stone towards making industrial devices smarter.

关键词： Industries Production systems process control systems architecture Machine learning Cognition Real-time systems Reliability Virtualization Informatics

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Far vs. Near: A Decision Framework for Cloud and Edge Use in the process Industry

Far vs. Near: A Decision Framework for Cloud and Edge Use in...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Lucas Vogt Zohra Charania Leon Urbas Process-to-Order Lab TU Dresden Dresden Germany Chair of Process Control Systems TU Dresden Dresden Germany

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

The technology readiness levels of cloud infrastructure and edge devices have increased significantly in recent years. This means that companies now have a growing number of computing environments at their disposal that could be suitable for the computing and control tasks involved in their production processes. Consequently, the need arises to select the best computing environment based on objective criteria and metrics. In order to create the basis for such a decision-making process, first an overview of the definitions and a comparison between edge and cloud environments is provided. Then a decision-making framework is derived that aims to facilitate this selection process. This is accomplished by providing a set of criteria that can be detailed to analyze a given use case. This analysis is then represented in a custom radar chart, which offers decision-makers a compact but meaningful representation of the decision space. Finally, the limits and future potentials of such a decision-making framework are discussed.

关键词： Measurement Industries Spaceborne radar Decision making process control Production Companies Aerospace electronics Informatics

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Bi@C nanosphere anode with Na^(+)-ether-solvent cointercalation behavior to achieve fast sodium storage under extreme low temperatures

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Carbon Energy 2024年第9期6卷 325-337页

作者： Lingli Liu Siqi Li Lei Hu Xin Liang Wei Yang Xulai Yang Kunhong Hu Chaofeng Hou Yongsheng Han Shulei Chou School of Energy Materials and Chemical EngineeringHefei UniversityHefeiChina LIB Technology Center of Anhui Province Hefei UniversityHefeiChina School of Advanced Manufacturing Engineering Hefei UniversityHefeiChina State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijingChina Institute for Carbon Neutralization College of Chemistry and Materials EngineeringWenzhou UniversityWenzhouChina

The low ion transport is a major obstacle for low-temperature(LT)sodium-ion batteries(SIBs).Herein,a core-shell structure of bismuth(Bi)nanospheres coated with carbon(Bi@C)is constructed by utilizing a novel Bi-based complex(1,4,5,8-naphthalenetetracarboxylic dianhydride as the ligand)as the precursor,which provides an effective template to fabricate Bi-based ***-40℃,the Bi@C anode achieves a high capacity,which is equivalent to 96%of that at 25℃,benefitting from the core-shell nanostructured engineering and Na^(+)-ether-solvent cointercalation *** special Na+-diglyme cointercalation behavior may effectively reduce the activation energy and accelerate the Na+diffusion kinetics,enabling the excellent low-temperature performance of the Bi@C *** expected,the fabricated Na_(3)V_(2)(PO_(4))_(3)//Bi@C full-cell delivers impressive rechargeability in the ether-based electrolyte at-40℃.Density functional theory calculations and electrochemical tests also reveal the fast reaction kinetic mechanism at LT,thanks to a much lower diffusion energy barrier(167 meV)and a lower reaction activation energy(32.2 kJ mol^(-1))of Bi@C anode in comparison with that of bulk *** work provides a rational design of Bi-based electrodes for rechargeable SIBs under extreme conditions.

关键词： bismuth core-shell structure low-temperature conditions sodium-ion batteries

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An Uncertainty Analysis Based Approach to Sensor Selection in Chemical processes

An Uncertainty Analysis Based Approach to Sensor Selection i...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Lukas Furtner Jonathan Mädler Leon Urbas Process Systems Engineering Group TU Dresden Dresden Germany

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

This work-in-progress paper proposes an approach to quantify process information in the context of sensor selection in chemical plants. The method is based on approximating the global state uncertainty via Monte Carlo simulation. In contrast to most existing approaches for sensor selection, this promises insusceptibility against dependent non-Gaussian uncertainties in steady-state or dynamic processes with the possibility to integrate data-driven models into the set of state equations. First results demonstrate that the approach can find the Pareto optimal sensor configuration for an in-silico continuous stirred tank reactor (CSTR). Additionally, the method's further development for applications in real-world scenarios is discussed.

关键词： Uncertainty Monte Carlo methods Costs Pareto optimization Mathematical models Steady-state Chemical processes Continuous-stirred tank reactor Chemicals Manufacturing automation

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Performance-Optimize Adaptive Robust Tracking control for USV-UAV Heterogeneous systems With Uncertainty

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IEEE Transactions on Vehicular Technology 2025年第5期74卷 7251-7262页

作者： Chen, Guangjun Wang, Wencheng Dong, Jiuxiang Northeastern University College of Information Science and Engineering Liaoning Province Key Laboratory of Safe Operation Technique for Autonomous Unmanned Systems State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Weifang University College of Machinery and Automation Weifang261061 China

This paper investigates the performance-optimized tracking control problem of the heterogeneous system consisting of the unmanned surface vehicle (USV) and the unmanned aerial vehicle (UAV) under uncertain dynamics. Based on the target tracking strategy, a performance optimization control framework for cooperative tracking in sea-air 3D space is established. To avoid the singularity of the UAV in the position loop inverse solution of the desired attitude, the saturation control strategy is designed to solve the UAV guidance problem, and the UAV position loop obtains bounded thrust. For the kinematic layer of the USV-UAV system, based on the prescribed performance control and optimal control methods, a prescribed performance-optimized control strategy is designed to optimize the virtual control input while ensuring the prescribed control performance. In addition, to reduce the impact of uncertainty on the USV-UAV control system, a prescribed performance compensation control scheme is proposed in the kinetic loop, which improves the USV-UAV control system robustness. The established sea-air 3D cooperative target tracking control framework can also be extended to complex formation control. Finally, experimental simulations verify the effectiveness of the designed control scheme. © 1967-2012 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Real time imaging of acoustic microrobots inside microfluidic and ex-vivo vessels 26

Real time imaging of acoustic microrobots inside microfluidi...

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26th International Conference on Miniaturized systems for Chemistry and Life Sciences, MicroTAS 2022

作者： Fonseca, Alexia D.C. Heinle, Anna Heinle, Tirza Ahmed, Daniel Acoustic Robotics Systems Lab Department of Mechanical and Process Engineering ETH Zurich Switzerland

ISBN: (纸本)9781733419048

Combined navigation and imaging of microrobots in living vasculatures is essential in realizing targeted drug delivery. However, in the present there are still few microrobots which can show both functionalities simultaneously when implemented inside a vasculature environment. We developed a dual acoustic control and imaging of "swarmbots", in which we can track in real time microrobot navigation inside microfluidic vessels and also inside ex-vivo vessels. We additionally show how to exploit Power Doppler imaging to identify microrobotic movement when the traditional ultrasound imaging does not provide enough contrast. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized systems for Chemistry and Life Sciences. All rights reserved.

关键词： controlled drug delivery

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A Semisupervised Soft-Sensor of Just-in-Time Learning With Structure Entropy Clustering and Applications for Industrial processes Monitoring

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2023年第4期4卷 722-733页

作者： Li, Dong Liu, Yiqi Huang, Daoping Xu, Chong South China University of Technology Key Laboratory of Autonomous Systems and Networked Control Ministry of Education School of Automation Science and Engineering Guangzhou510640 China Technical University of Denmark Process and Systems Engineering Center Department of Chemical and Biochemical Engineering Lyngby2800 Denmark South China University of Technology School of Automation Science and Engineering Guangzhou510640 China Gannan Normal University School of Physics and Electronic Information Ganzhou341000 China

To monitor industrial processes properly, soft-sensors are widely used to predict significant but difficult-to-measure quality variables. However, the prediction performances of traditional data-driven soft-sensors are usually unacceptable once suffering from high-nonlinear, high-dimension, and imblance data issues. Therefore, a semisupervised soft-sensor, which is learned by a just-in-time method with structure entropy clustering (SS-JITL-SEC), is proposed aiming to improve prediction performance with a simpler way. Inspired by a divide and conquer strategy, a novel SEC method is proposed to achieve several clusters and then to translate the highly complex and nonlinear modeling problems into simple and linear ones. Moreover, the training dataset is extended through a mixed SS labeling approach. Finally, dissimilarity-based JITL works together with the resulting clustering subdatasets to formulate a local adaptive prediction model. Two datasets from different types of wastewater treatment plants are used to verify the effectiveness of the proposed soft-sensor. The results show that the SS-JITL-SEC soft-sensor can achieve better prediction performance than other standard counterparts, and even for effective process monitoring with the resulted residuals. © 2020 IEEE.

关键词： Entropy

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Surface deformation-dependent mechanical properties of bending nanowires:an ab initio core-shell model

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Applied Mathematics and Mechanics(English Edition) 2022年第2期43卷 219-232页

作者： Ye XIAO J.SHANG L.Z.KOU Chun LI School of Mechanics Civil Engineering and ArchitectureNorthwestern Polytechnical UniversityXi’an710072China MIIT Key Laboratory of Dynamics and Control of Complex Systems Northwestern Polytechnical UniversityXi’an710072China School of Mechanical Medical and Process EngineeringQueensland University of TechnologyBrisbaneQLD4000Australia

An ab initio core-shell model is proposed to evaluate the surface effect in bending nanowires,in which the elastic modulus depends on the surface relaxation and deformation induced by external *** using first-principles calculations based on the density functional theory(DFT),the surface and bulk properties are calculated for Ag,Pb,and Si *** obtained theoretical predictions of the effective Young’s modulus of nanowires agree well with the experimental data,which shows that the fixed-fixed nanowire is stiffened and the cantilevered nanowire is softened as the characteristic size of the cross section ***,the contrastive analysis on the two kinds of nanowires demonstrates that increasing the nanowire aspect ratio would enhance the surface *** present results could be helpful for understanding the size effect in nanowires and designing nanobeam-based devices in nanoelectromechanical systems(NEMSs).

关键词： surface effect density functional theory(DFT) surface relaxation surface stress nanowire

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