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2023 International Automatic control Conference, CACS 2023

作者： Su, Kai-Hsiang Chen, Chiao-Hsin Chen, Chia-Hsin Zhang, Yong-Liang Ko, Li-Wei National Yang Ming Chiao Tung University Former National Chiao Tung University Institute of Biological Science and Technology Hsinchu30010 Taiwan National Yang Ming Chiao Tung University Former National Chiao Tung University Institute of Molecular Medicine and Bioengineering Hsinchu30010 Taiwan Medical University Chung-Ho Memorial Hospital Rehabilitation Department of Kaohsiung Taiwan College of Biological Science and Technology Hsinchu30010 Taiwan National Yang Ming Chiao Tung University Former National Chiao Tung University Institute of Electrical and Control Engineering Hsinchu30010 Taiwan Brain Research Center Department of Electrical and Computer Engineering Hsinchu30010 Taiwan

ISBN: (纸本)9798350306354

With the advent of the global aging era, the impact of stroke on humans is continuously increasing. Therefore, new therapeutic approaches to enhance patient recovery are receiving growing attention. Stroke is a severe neurological disorder that causes brain damage, requiring extended periods of rehabilitation for patients to return to normal life. Currently, common clinical methods largely rely on traditional passive limb rehabilitation, primarily targeting peripheral nerve training. Nowadays, an increasing number of people are recognizing the importance of post-stroke neuroplasticity. This study aims to activate patients' central nervous system and proposes a brain-machine interface (BCI) exoskeleton system based on human cognition. By designing three cognitive brainwave training models, including an attention-based standing-up model detecting θ-band power decrease, a relaxation-based sitting-down model detecting α-band power increase, and a walking model detecting MRCP, patients can actively control lower limb exoskeleton movement using *** study provides cross-validation accuracy through both normal subjects and stroke patients, with accuracies of 87.13±9.38 and 80.83±9.68, respectively. Envisioning a rehabilitation system guided by human cognition, our team has developed an intuitive BCI exoskeleton system. © 2023 IEEE.

关键词： Brain

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Game-Based Driver-Automation Cooperative Steering control for Intelligent Vehicles

SSRN

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SSRN 2022年

作者： Liu, Jun Guo, Hongyan Gao, Zhenhai Chen, Hong Cao, Dongpu The State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130025 China The Department of Control Science and Engineering Jilin University Changchun130025 China The School of Vehicle and Mobility Tsinghua University Beijing100000 China The Clean Energy Automotive Engineering Center Tongji University Shanghai201804 China

This paper presents a game-based cooperative steering control(GCSC) method to construct the the human driver and automation interaction, in which the neuromuscular delay of human driver is taken into consideration. In this framework, a compromise between the driver's goal and automation's goal is through the realization of game equilibrium when the driver and machine conflict. Since frequent changes in driving weight can result in an additional burden to the human driver, the initial driving weight is set as a fixed value and dynamically adjusted by driving weight transfer strategy. Moreover, a comprehensive evaluation method including subjective and objective evaluation indexes is proposed. Different drivers are invited to perform virtual driving experiments, and the experimental results are analyzed by the proposed evaluation method. It is concluded that the driver's driving weight should be kept at a high level during cooperative steering control, and the determination of the driving weight should also consider the driver's driving skills. © 2022, The Authors. All rights reserved.

关键词： Automobile steering equipment

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A new approach to controlling metal transfer by dynamic modification in gas composition of arc atmosphere: studies on pulsed gas MAG welding*

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Welding International 2020年第10-12期34卷 430-454页

作者： Ohara, Masahiro Mizuguchi, Takashi Miyata, Kanto Tsuyama, Tadahisa Fujiwara, Kohei Graduate School of Science and Engineering Ehime University Matsuyama Japan Bridge Division Production Control Department Production Development Department Kawada Industries Inc Tokyo Japan Nippon Steel Welding Engineering Co. Ltd Tokyo Japan

It has been well known that, in GMA welding, various welding phenomena are largely affected by the type of shielding gas used. However, up to the present time, almost no attempt has been made to utilize ‘gas composition’ for controlling welding phenomena. This study focused on this point and, thus, an investigation was made to understand how dynamic gas compositional modification affected various welding phenomena. In this study, pulsed Ar gas was injected periodically into CO2 shielding gas so that the gas composition of arc atmosphere largely modified in a very short period of time. It was found that this quick gas compositional change from CO2 to Ar led to a large decrease in arc voltage and an arc shape change from a constricted shape to a flare shape and that a molten droplet formed at the electrode tip during the CO2 period was released due to a sudden change in force balance between the molten droplet and the arc. The increase in current stimulated by the voltage drop may have assisted the metal drop detachment due to an increase in electromagnetic pinch force. If the cycle of this periodical Ar gas injection was selected to be shorter than that of repelled metal transfer in CO2 atmosphere, the repelled transfer was avoided and stable drop transfer occurred instead with far less spatter. Appropriate selections of the duration time of pulsed Ar gas injections avoided spray transfer which might cause undesirable finger-like penetration proﬁles. This new conceptual welding method, namely ‘Pulsed Gas MAG Welding’, required only a small amount of Ar gas to obtain the effects mentioned above. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Carbon dioxide

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Affine formation maneuver tracking control of multiple second-order agents with time-varying delays

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science China(Technological sciences) 2019年第4期62卷 665-676页

作者： XU Yang LI DongYu LUO DeLin YOU YanCheng School of Aerospace Engineering Xiamen University Department of Electrical and Computer Engineering National University of Singapore Department of Control Science and Engineering Harbin Institute of Technology

This paper considers an affine maneuver tracking control problem for leader-follower type second-order multi-agent systems in the presence of time-varying delays, where the interaction topology is directed. Using the property of the affine transformation,this paper gives the sufficient and necessary conditions of achieving the affine localizability and extends it to the second-order condition. Under the(n + 1)-reachable condition of the given n-dimensional nominal formation with n + 1 leaders, a formation of agents can be reshaped in arbitrary dimension by only controlling these leaders. When the neighboring positions and velocities are available, a formation maneuver tracking control protocol with time-varying delays is constructed with the form of linear systems, where the tracking errors of the followers can be specified. Based on Lyapunov-Krasovskii stability theory, sufficient conditions to realize affine maneuvers are proposed and proved, and the unknown control gain matrix can be solved only by four linear matrix inequalities independent of the number of agents. Finally, corresponding simulations are carried out to verify the theoretical results, which show that these followers can track the time-varying references accurately and continuously.

关键词： formation control affine transformation multi-agent systems second-order dynamics time-varying delays

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Crowd counting model for evacuation scenarios based on a cascaded CNN

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Qinghua Daxue Xuebao/Journal of Tsinghua University 2023年第1期63卷 146-152页

作者： Deng, Qing Zhang, Bo Li, Yihao Zhou, Liang Zhou, Zhengqing Jiang, Huiling Gao, Yang Research Institute of Macro-Safety Science University of Science and Technology Beijing Beijing100083 China School of Civil and Resource Engineering University of Science and Technology Beijing Beijing100083 China Xi'an Fire Rescue Detachment Xi'an710000 China Technical Support Center for Prevention and Control of Disastrous Accidents in Metal Smelting University of Science and Technology Beijing Beijing100083 China Institute of Public Safety Research Department of Engineering Physics Tsinghua University Beijing100084 China School of Intelligence Policing China People's Police University Langfang065000 China

Accurate crowd counts during evacuations can support real-time optimization of evacuation routes and scheduling of emergency resources. This study estimates the n u m b e r of occupants in an evacuation passageway by setting a classification level and personnel density together in a cascaded convolutional neural network (C N N) crowd counting model based on analyses of existing methods. The method avoids the loss of image information and over fitting in the convolution process. The model estimates the real-time crowd count in crowded situations by learning the relationship between the n u m b e r and the position of occupants in the image and by changing the image features. The model was implemented on the Py Torch platform with an identification accuracy for the validation set (612 photos) of 84. 2% and for the test set (182 photos) of 83. 6%, which shows that this method can accurately predict the number of evacuees in a monitoring screen. © 2023 Press of Tsinghua University. All rights reserved.

关键词： Image recognition

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Distributed Coverage control of Constrained Constant-Speed Unicycle Multi-Agent Systems

arXiv

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arXiv 2023年

作者： Liu, Qingchen Zhang, Zengjie Le, Nhan Khanh Qin, Jiahu Liu, Fangzhou Hirche, Sandra Department of Automation University of Science and Technology of China Hefei China Department of Electrical Engineering Eindhoven University of Technology Netherlands Chair of Information-Oriented Control Technical University of Munich Munich Germany Ningbo Institute of Intelligent Equipment Technology Company Ltd Ningbo China

This paper proposes a novel distributed coverage controller for a multi-agent system with constant-speed unicycle robots (CSUR). The work is motivated by the limitation of the conventional method that does not ensure the satisfaction of hard state- and input-dependent constraints and leads to feasibility issues for multi-CSUR systems. In this paper, we solve these problems by designing a novel coverage cost function and a saturated gradient-search-based control law. Theoretical proofs are provided to guarantee that the CSURs ultimately move to the optimal coverage configuration without moving out of the covered domain. The controller is implemented in a distributed manner based on a novel communication standard among the agents. A series of simulation studies are conducted to validate the correctness of our theory by showing the efficacy of the proposed coverage controller in different initial conditions and with various control parameters. A comparison study in simulation reveals the advantage of the proposed method over the conventional method in terms of avoiding infeasibility. The experimental study verifies the applicability of the method to real robots. The development procedure of the method from theoretical analysis to experimental validation provides a novel framework for multiagent system coordinate control with complex dynamics. © 2023, CC BY-NC-SA.

关键词： Multi agent systems

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Mesoporous Amorphous Feooh-Encapsulated Bio2-X Photocatalyst with Harnessing Broad Spectrum Toward Activation of Persulfate for Tetracycline Degradation

SSRN

引用

SSRN 2023年

作者： Wu, Pengfei Liu, Zhaolong Wu, Li Zhang, Yingkun Zhao, Shining Cheng, Zhanghao Cui, Wenquan Wang, Zhenjie Liu, Qingling Tianjin Key Lab of Indoor Air Environmental Quality Control School of Environmental Science and Engineering Tianjin University Tianjin300350 China Hebei Pollution Control Technology Innovation Center of Steel and Coking Industry Department of Environmental and Chemical Engineering Hebei College of Industry and Technology Shijiazhuang050091 China Hebei Key Lab of Environmental Photocatalytic and Electrocatalytic Materials College of Chemical Engineering North China University of Science and Technology Tangshan063210 China Hebei Academy of Product Quality Supervision & Inspection Shijiazhuang050227 China

In this work, to overcome the drawbacks of the photocatalytic activity reduction caused by the photo-corrosion of non-stoichiometric BiO2-x, a novel material with amorphous FeOOH in situ grown on layered BiO2-x to form a core-shell structure similar to popcorn chicken-like morphology was produced in two simple and environmentally beneficial steps. Through a series of degradation activity tests of hybrid materials under different conditions, the as-prepared materials exhibited remarkable degradation activity and stability toward tetracycline in the FeOOH@BiO2-x/Vis/PS system due to the synergism of photocatalysis and persulfate activation. The results of XRD, SEM, TEM, XPS, FTIR and BET show that the loading of FeOOH increases the specific surface area and active sites appreciably. The optimal degradation conditions were at a catalyst addition of 0.7 g/L, a persulfate concentration of 1.0 g/L, and an initial pH of 4.5, at which the degradation rate could reach 94.7% after 90 min. The influence of typical inorganic anions on degradation was also examined. ESR studies and radical quenching experiments revealed that ⋅OH, ⋅S [[EQUATION]] , and ⋅ [[EQUATION]] were the principal active species generated during the degradation of tetracycline. The results of the 1,10-phenanthroline approach proved that the effect of dissolved iron ions on the tetracycline degradation was limited, and the interfacial reaction that occurs on the active sites on the material's surface was a critical factor. This work provides a novel method for the producing of efficient broad-spectrum Bismuth-based composite photocatalysts and photocatalytic activated persulfate synergistic degradation of tetracycline. © 2023, The Authors. All rights reserved.

关键词： Degradation

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Challenges in developing and deploying AI in the engineering, procurement and construction industry

Challenges in developing and deploying AI in the engineering...

引用

IEEE Annual International Computer Software and Applications Conference (COMPSAC)

作者： Rimma Dzhusupova Jan Bosch Helena Holmströ m Olsson Dept. of Electrical &#x0026 Instrumentation Control &#x0026 Safety Systems McDermott The Hague The Netherlands Department of Computer Science and Engineering Chalmers University of Technology Gothenburg Sweden Department of Computer Science and Media Technology Malm&#x00F6 University Malm&#x00F6 Sweden

ISBN: (数字)9781665488105

ISBN: (纸本)9781665488112

AI in the engineering, Procurement and Construction (EPC) industry has not yet a proven track record in large-scale projects. Since AI solutions for industrial applications became available only recently, deployment experience and lessons learned are still to be built up. Several research papers exist describing the potential of AI, and many surveys and white papers have been published indicating the challenges of AI deployment in the EPC industry. However, there is a recognizable shortage of in-depth studies of deployment experience in academic literature, particularly those focusing on the experiences of EPC companies involved in large-scale project execution with high safety standards, such as the petrochemical or energy sector. The novelty of this research is that we explore in detail the challenges and obstacles faced in developing and deploying AI in a large-scale project in the EPC industry based on real-life use cases performed in an EPC company. Those identified challenges are not linked to specific technology or a company's know-how and, therefore, are universal. The findings in this paper aim to provide feedback to academia to reduce the gap between research and practice experience. They also help reveal the hidden stones when implementing AI solutions in the industry.

关键词： Industries Procurement Companies Manuals Petrochemicals Software Safety

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Evaluating the Deformation Modulus at Representative Elementary Volume Using Electrical Resistivity Tomography

SSRN

引用

SSRN 2023年

作者： Akbariforouz, Mohammadreza Zhao, Qi Zheng, Chunmiao EIT Institute for Advanced Study Ningbo China Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen China

The deformation modulus of rock mass is essential for evaluating deformations and the bearing capacity of rock masses. This modulus obtained by conventional approaches, including empirical equations and in-situ tests, cannot be considered a parameter at representative elementary volume (EREV) due to limited coverage of the test area and difficulties in conducting the tests in harsh geological or topographic conditions. This study employs electrical resistivity (ER) tomography and numerical back-analysis to investigate the EREV at the Beheshtabad dam site in Iran. Geoelectrical contrasts were used to detect proper locations for installing extensometers. The deformations recorded by extensometers at excavated galleries were used to back-calculate the EREV values by numerical modeling. The deformation modulus values were evaluated by empirical equations and in-situ tests and compared to EREV values based on the developed method. A correlation was established between ER and EREV and was used to calculate EREV values at the dam axis;the results are 30 to 80% more accurate comparing the conventional approaches. Tested area, anisotropy, and plastic deformations are significant factors that can influence EREV values. Our methodology provides a systematical approach to establishing an ER-EREV relationship for evaluating rock mass deformation modulus at REV, which can be applied to rock engineering sites with harsh geology or limited access without exposing an extreme financial burden or environmental issues. © 2023, The Authors. All rights reserved.

关键词： Rocks

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Toolbox for Discovering Dynamic System Relations via TAG Guided Genetic Programming

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IFAC-PapersOnLine 2021年第7期54卷 379-384页

作者： Ştefan-Cristian Nechita Roland Tóth Dhruv Khandelwal Maarten Schoukens Department of Electrical Engineering Eindhoven University of Technology Eindhoven University of Technology Eindhoven The Netherlands Systems and Control Laboratory Institute for Computer Science and Control Kende u. 13-17 H-1111 Budapest Hungary

Data-driven modeling of nonlinear dynamical systems often requires an expert user to take critical decisions a priori to the identification procedure. Recently, an automated strategy for data driven modeling of single-input single-output (SISO) nonlinear dynamical systems based on genetic programming (GP) and tree adjoining grammars (TAG) was introduced. The current paper extends these latest findings by proposing a multi-input multi-output (MIMO) TAG modeling framework for polynomial NARMAX models. Moreover, we introduce a TAG identification toolbox in Matlab that provides implementation of the proposed methodology to solve multi-input multi-output identification problems under NARMAX noise assumption. The capabilities of the toolbox and the modeling methodology are demonstrated in the identification of two SISO and one MIMO nonlinear dynamical benchmark models.

关键词： Nonlinear system identification Equation discovery Tree Adjoining Grammar Genetic Programming Data-driven system modeling

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