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An Unconfined Monocular Stereo-PIV Measurement Method for Gas-Liquid Pipe Flow

IEEE Sensors Journal 2025年第11期25卷 20104-20112页

作者： Wang, Haixia Xue, Ting Tianjin University Tianjin Key Laboratory of Process Measurement and Control College of Electrical and Information Engineering Tianjin300072 China

Stereo-PIV encounters intricate challenges in flow measurement, especially accurate target localization and synchronized control of dual cameras. To overcome these obstacles, a comprehensive study delves into gas-liquid two-phase flow utilizing a monocular Stereo-PIV system. To reduce the need for high-precision target localization, a method is proposed that integrates particle features for corner extraction and spatial consistency for precise matching by pyramid up-down sampling. The approach effectively mitigates scale variance-induced mismatches and facilitates accurate spatial plane reconstruction. Validation is conducted utilizing particle simulation to assess the accuracy of feature extraction and matching and their impact on spatial plane reconstruction. Furthermore, optical distortion calibration results derived from gas-liquid two-phase flow are compared with experimental data to investigate the accuracy of real plane reconstruction. The accuracy of three-dimensional velocities is evaluated across planes with various errors. Finally, three-dimensional velocity profiles are characterized within slug flow structures, thereby offering insights into velocity variation characteristics. © 2001-2012 IEEE.

关键词： Stereo image processing

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Multi-step state-based opacity for unambiguous weighted machines

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Science China(Information Sciences) 2024年第11期67卷 211-221页

作者： Zhipeng ZHANG Chengyi XIA Guoyuan QI Jun FU School of Artificial Intelligence Tiangong University School of Control Science and Engineering Tiangong University State Key Laboratory of Synthetical Automation for Process Industries Northeastern University

Opacity is a central concept in the issue of privacy security and has been studied extensively in fields such as finite automata, probabilistic automata, and stochastic automata. Here, we investigate the problem of validating multi-step opaque properties through unambiguous weighted machines from the perspective of cyber-physical systems. First, the notion of multi-step state-based opacity for unambiguous weighted machines is presented and defined. It includes two variants of delays with a finite K and infinite steps. Subsequently, the weighted state estimate with K(infinite)-step delay is established by abstracting the possible state set that the system could have through these weighted observations. Meanwhile, to keep the observable weighted sequence consistent between the bidirectional observers, the unobserved weights of the reverse weighted machine are assumed to be reserved. Subsequently, the existence conditions are developed, and the corresponding algorithms, termed the weighted bidirectional observer, are generalized to verify these properties. Finally, several numerical examples are illustrated to demonstrate the effectiveness of the proposed method. Taken together, the current approach will be conducive to a deep understanding of the security and privacy of cyber-physical systems.

关键词： logical dynamical systems weighted state machine state estimation opacity cyber physical systems

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Architecture of Digital Twin for Automating Waste and Recycling Material Sorting process 29

Architecture of Digital Twin for Automating Waste and Recycl...

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29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024

作者： Parbat, Shreyas Iqbal, Imam Viedt, Isabell Urbas, Leon Technische Universität Dresden Process Control Systems & Process Systems Engineering Group Dresden Germany

ISBN: (纸本)9798350361230

Waste and recycling material sorting is crucial for reducing environmental impact and promoting resource recovery. However, its complexity poses significant challenges, necessitating the development of effective sorting processes. Manual operation of these plants can be less efficient than automated systems. The first step toward automation is utilizing a Digital Twin, which combines fundamental principles and data-driven insights into the waste sorting process. To achieve this, the equipment involved in waste sorting plants can be analyzed in detail, focusing on operational settings and their impact on overall efficiency. Initially, a steady-state model of the plant is developed, followed by the implementation of advanced strategies like model predictive control. The model can be rigorously tested and refined using a case study on German post-consumer waste. The architecture of the Digital Twin, comprising various building blocks such as the modeling and simulation block, is being developed to transition away from manual operations. This Digital Twin aims to enhance sorting efficiency through offline and online optimization of operational set points, leading to a more sustainable and resource-efficient future. Through simulations and real-time data integration, a Digital Twin for the waste and recycling material process can aid with process design, fine-tuning, and plant automation. © 2024 IEEE.

关键词： Circular economy

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Sampled-data bipartite containment control over a network of wave equations

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Science China(Information Sciences) 2023年第9期66卷 21-34页

作者： Yining CHEN Zhiqiang ZUO Yijing WANG School of Artificial Intelligence Tiangong University Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University

This paper studies the bipartite containment control problem for a network of wave equations.A distributed sampled-data control protocol is proposed such that the follower states converge to a convex hull spanned by the leader trajectories and their opposites. A criterion for bipartite containment control is derived by applying the constructed Lyapunov-Krasovskii functional. The well-posedness of the closedloop system is verified using the semigroup and induction methods. Furthermore, the effectiveness of the theoretical results is demonstrated through numerical examples.

关键词： bipartite containment control sampled-data control multi-agent system partial differential equation

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Multi-level DEM study on silo discharge behaviors of non-spherical particles

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Particuology 2023年第11期82卷 179-191页

作者： Lei Xu Xiukai Wu Jingyin Liang Shuai Wang Shiyi Bao Institute of Process Equipment and Control Engineering College of Mechanical EngineeringZhejiang University of TechnologyHangzhou310032China Engineering Research Center of Process Equipment and Remanufacturing Ministry of EducationChina State Key Laboratory of Clean Energy Utilization Zhejiang UniversityHangzhou310027China

The silo discharge of non-spherical particles has been widely practiced in engineering processes, yet the understanding of multi-level mechanisms during solid transportation is still lacking. In this study, a high-fidelity super-ellipsoid Discrete Element Method (DEM) model is established to investigate the discharge behaviors of non-spherical particles with different size distributions. After the comprehensive model validations, we investigated the effects of particle shape (aspect ratio and particle sharpness) on the particle level discharge behaviors. The discharge rates of the ellipsoid particles used in the current work are larger than the spherical particles due to the larger solid fraction. The discharge rates of the cuboid-like particles are determined by the combined effect of the solid fraction and the contact force. Parcel level data show that the translational movements of the ellipsoid particles are more ordered, which is supported by the global level data. Strong correlations exist between the particle level and parcel level data, especially the ellipsoid particles and the large particles in the polydispersed cases.

关键词： Multi-level study Non-spherical particle Numerical simulation Silo discharge Granular flow

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Effect of applied electric fields on supralinear dendritic integration of interneuron

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Chinese Physics B 2024年第2期33卷 84-95页

作者：樊亚琴魏熙乐卢梅丽伊国胜 Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information EngineeringTianjin UniversityTianjin 300072China School of Information Technology Engineering Tianjin University of Technology and EducationTianjin 300222China

Evidences show that electric fields(EFs)induced by the magnetic stimulation could modulates brain activities by regulating the excitability of GABAergic ***,it is still unclear how and why the EF-induced polarization affects the interneuron response as the interneuron receives NMDA synaptic *** the key role of NMDA receptor-mediated supralinear dendritic integration in neuronal computations,we suppose that the applied EFs could functionally modulate interneurons’response via regulating dendritic *** first,we build a simplified multi-dendritic circuit model with inhomogeneous extracellular potentials,which characterizes the relationship among EF-induced spatial polarizations,dendritic integration,and somatic *** performing model-based singular perturbation analysis,it is found that the equilibrium point of fast subsystem can be used to asymptotically depict the subthreshold input–output(sI/O)relationship of dendritic *** predicted that EF-induced strong depolarizations on the distal dendrites reduce the dendritic saturation output by reducing driving force of synaptic input,and it shifts the steep change of sI/O curve left by reducing stimulation threshold of triggering NMDA ***,the EF modulation prefers the global dendritic integration with asymmetric scatter distribution of NMDA ***,we identify the respective contribution of EF-regulated dendritic integration and EF-induced somatic polarization to an action potential generation and find that they have an antagonistic effect on AP generation due to the varied NMDA spike threshold under EF stimulation.

关键词： GABAergic interneuron electrical field supralinear dendritic integration action potential generation

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Recovery and reuse of floc sludge for high-performance capacitors

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Frontiers of Environmental Science & engineering 2022年第6期16卷 133-144页

作者： Di Zhang Rong Hou Wenbo Wang He Zhao Beijing Engineering Research Center of Process Pollution Control CAS Key Laboratory of Green Process and EngineeringInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China

In this paper,floc sludge was transformed into porous carbon matrix composites by acidification and KOH activation at high temperature and used as an electrode material for application in *** effects of different treatment processes on the electrochemical properties of sludge materials were *** results of electrochemical tests showed that the sludge electrode exhibited excellent energy storage performance after HNO3 acidification and KOH activation with a mass ratio of 3:1(KOH/C).The specific capacitance of the sludge electrode reached 287 F/g at a current density of 1 A/*** addition,the sludge electrode material showed excellent cycle stability(specific capacity retained at 93.4%after 5000 cycles at 5 A/g).Based on XRD,FTIR,SEM,TEM,and BET surface analysis,the morphology of sludge electrode materials can be effectively regulated by chemical *** best-performing material showed a 3D porous morphology with a large specific surface area(2588 m^(2)/g)and optimal pore size distribution,improving ion channels and charge *** to the life cycle assessment of floc sludge utilization,it reduced the resource consumption and toxicity risk by more than 90%compared with ordinary sludge disposal *** work provided a cost-effective and eco-friendly sludge reuse method and demonstrated the application potential of sludge-based materials in high-performance supercapacitors.

关键词： Floc sludge Porous carbon electrode Energy storage performance Supercapacitors

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Multi-level coarse-grained discrete element method modeling of cylinder particle flow in a rotating drum

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Particuology 2024年第5期88卷 218-238页

作者： Lei Xu Xiukai Wu Shuai Wang Shiyi Bao Institute of Process Equipment and Control Engineering Zhejiang University of TechnologyHangzhou 310023China Engineering Research Center of Process Equipment and Remanufacturing Ministry of EducationZhejiang University of TechnologyHangzhou 310023China College of Mechanical Engineering Zhejiang University of TechnologyHangzhou 310023China State Key Laboratory of Clean Energy Utilization Zhejiang UniversityHangzhou 310027China

The coarse-grained discrete element method(DEM)is probably a feasible option for simulating an actual drum-type biomass boiler,which contains over 10 million cylinder particles.A multi-level study was conducted based on particle and coarse-grained level data to evaluate the adequacy of the coarse-grained approach in terms of geometrical characteristics,kinematic features,and dynamic *** scaling laws for contact parameters were used and compared during the *** results show that the coarse-grained approach can accurately predict the positions of the free surface and active-passive interface,the mixing index,and the orientation *** in the velocity fields may occur due to the worse flowability of coarse-grained particles near the free *** efficiency is significantly improved by the coarse-grained model compared with the corresponding original case(the same DEM code without a coarse-grained model was used for the original simulations).

关键词： Coarse-grained method Discrete element method(DEM) Cylinder particle Rotating drum Granular flow

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Adaptive Optimal Output Regulation of Interconnected Singularly Perturbed Systems With Application to Power Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 595-607页

作者： Jianguo Zhao Chunyu Yang Weinan Gao Linna Zhou Xiaomin Liu the Engineering Research Center of Intelligent Control for Underground Space Ministry of EducationChina University of Mining and TechnologyXuzhou 221116 the School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116 IEEE the State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110819China

This article studies the adaptive optimal output regulation problem for a class of interconnected singularly perturbed systems(SPSs) with unknown dynamics based on reinforcement learning(RL).Taking into account the slow and fast characteristics among system states,the interconnected SPS is decomposed into the slow time-scale dynamics and the fast timescale dynamics through singular perturbation *** the fast time-scale dynamics with interconnections,we devise a decentralized optimal control strategy by selecting appropriate weight matrices in the cost *** the slow time-scale dynamics with unknown system parameters,an off-policy RL algorithm with convergence guarantee is given to learn the optimal control strategy in terms of measurement *** combining the slow and fast controllers,we establish the composite decentralized adaptive optimal output regulator,and rigorously analyze the stability and optimality of the closed-loop *** proposed decomposition design not only bypasses the numerical stiffness but also alleviates the *** efficacy of the proposed methodology is validated by a load-frequency control application of a two-area power system.

关键词： Adaptive optimal control decentralized control output regulation reinforcement learning(RL) singularly perturbed systems(SPSs)

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Optimization-based Reference Tracking for Two-Dimensional Multiple Source Heating 63

Optimization-based Reference Tracking for Two-Dimensional Mu...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Scholz, Stephan Berger, Lothar University of Applied Sciences Ravensburg-Weingarten Control and Process Engineering Lab Weingarten Germany

ISBN: (纸本)9798350316339

In this contribution, we create a model of two-dimensional linear heat conduction with nonlinear boundary conditions as heat transfer and heat radiation. The temperature is steered via multiple actuators on one boundary side, and measurements are taken with multiple sensors on the opposite boundary side. We design with a parametrized input function an optimization-based control strategy to follow a reference trajectory from low to high temperatures. When reaching the desired temperature value, measurements are stabilized at this operating point with a model predictive control technique. Finally, we demonstrate our proposed procedure with a numerical simulation. © 2024 IEEE.

关键词： Predictive control systems

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