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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Xenya, Michael Christopher Cortesao, Rui Institute of Systems and Robotics University of Coimbra Electrical and Computer Engineering Department Coimbra3030-290 Portugal FOE GCTU PMB100 Accra Ghana

ISBN: (纸本)9798350331820

Metal mold casting for many application areas remains imperfect since this involves the control of numerous factors that affect workpiece quality. Surface roughness which remains one of the many issues related to metal mold cast is often mitigated by means of grinding and polishing. As many attempts are being made to address this challenge through robot-assisted techniques, we focus on rapid mold polishing using the Franka Emika (FE) robot and its programming resources, including a built-in impedance control architecture. To accomplish the objective, mold surface segmentation is necessary. For each segment, the polishing approach is based on surface normals, relative motion, and torque sensor data. Results were obtained with open platform communication-unified architecture (opc-ua) client and server that record torque and force data. Results show that tuning internal impedance control parameters for polishing tasks is feasible. © 2023 IEEE.

关键词： Polishing

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Model Predictive Control: Trade-offs between Performance and Computation time

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IFAC-PapersOnLine 2024年 57卷 77-82页

作者： Deepti Khimani Sammyak Mate Sharad Bhartiya Department of Automation and Robotics V.E.S Institute of Technology Mumbai India Department of Chemical Engineering Indian Institute of Bombay Mumbai India

Model predictive control (MPC) uses a model of the system as a proxy to obtain multi-step predictions of the state or output variables. Thus MPC performance significantly depends on the quality of system approximation by the model. While a linear model provides a reasonable approximation of a nonlinear system over a small operating region and only requires online solution of a quadratic program (QP), the multi-step predictions can be grossly inadequate if the system trajectories cover a large operating range and the MPC performance may become unacceptable. Here, nonlinear models are necessary to provide accurate predictions. However, the online computation requires solution of a nonlinear program (NLP) instead of a QP. This trade-of between a linear and nonlinear system can be solved by use of multiple linear models, where the online optimization problem takes form of a QP but allows superior predictions than linear models. In this work, we explore the trade-of for a significantly nonlinear system namely, a continuous stirred tank reactor, by using a feed forward neural network (FFNN) as the nonlinear model for the multi-step predictions. It is seen that while the FFNN provides reasonable approximations the computation times to solve the online optimization problems are significantly higher. This trade-of motivates our future research directions of approximating the FFNN by a quasi-linear parameter varying system as a new approach to the trade-of.

关键词： Predictive control of nonlinear systems Neural networks quasi-linear parameter varying systems Multiple linear models

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Interface engineering and Anion engineering of Mo-Based Heterogeneous Electrocatalysts for Hydrogen Evolution Reaction

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Energy & Environmental Materials 2023年第1期6卷 87-104页

作者： Zehao Yin Xuan Liu Siru Chen Tingli Ma Yanqiang Li State Key Laboratory of Fine Chemicals School of Chemical EngineeringDalian University of TechnologyPanjin CampusPanjin 124221China School of Material and Chemical Engineering Centre for Advanced Materials ResearchZhongyuan University of TechnologyZhengzhou 450007China Department of Materials Science and Engineering China Jiliang UniversityHangzhou 310018China Graduate School of Life Science and Systems Engineering Kyushu Institute of TechnologyKitakyushu Fukuoka 808-0196Japan

Development and utilization of hydrogen energy is an effective way to achieve carbon neutrality,only hydrogen production through electrolytic water splitting meets the goal of zero carbon *** facilitate the large-scale commercialization of water splitting devices,the development of highly efficient and low-cost catalysts to reduce the energy consumption is ***_(2)has been regarded as a promising electrocatalyst to replace platinum in hydrogen evolution reaction due to its low price and unique 2D layered ***,the poor conductivity and inert basal planes of MoS_(2)limited its wide-spread ***,researches have demonstrated that the conductivity and active sites of MoS_(2)can be improved by heteroatoms doping or constructing of heterogeneous *** this review,the recent progress of Mo-based catalysts are summarized centered on MoS_(2)based on interface engineering and anion engineering,including MoS_(2)–MoO_(2),MoS_(2)–Mo_(2)C,MoS_(2)–MoN_(x),MoS_(2)–MoP,and MoS_(2)–MoSe_(2).The preparation method,structure,and performance of the catalysts are introduced and the possible mechanism behind the improved catalytic activity are revealed to give readers an overall comprehension on the progress of the Mo-based electrocatalysts for hydrogen evolution *** addition,an outlook on future opportunities and development directions of Mo-based catalysts are proposed to facilitate the development of Mo-based catalysts for hydrogen production.

关键词： electrocatalysis heterostructure hydrogen evolution reaction Mo-based catalysts

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Optimizing Handwritten Character Recognition systems: Neural Networks vs. Statistical Methods

Optimizing Handwritten Character Recognition Systems: Neural...

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2024 IEEE International Conference on Intelligent systems and Advanced Applications, ICISAA 2024

作者： Agrawal, Vikash K. Bogireddy, Srinivasa Rao Patil, Lalit N. Sonekar, Mahesh Patil, Yashraj M. Panwar, Vikas Singh Dr. D. Y. Patil Institute of Technology Department of Automation and Robotics Engineering Pune India Horizon Systems Inc PhoenixAZ United States Dr. D. Y. Patil Institute of Technology Department of Mechanical Engineering Pune India

ISBN: (纸本)9798331539948

This investigation focuses on the identification of handwritten characters using neural network technology combined with statistical methods. Handwriting recognition has gained popularity due to its wide range of applications in document processing, signature authentication, and digitized communication. The use of neural networks, particularly deep learning models, has greatly enhanced the accuracy and efficiency of character recognition systems. This study provides a comprehensive analysis aimed at evaluating the effectiveness of neural networks in recognizing handwritten characters. Various neural network architectures, including convolution and recurrent neural networks, are explored;each designed to address specific challenges in character recognition. Additionally, statistical methods are employed for feature extraction, further improving recognition accuracy. Extensive testing and benchmarking are conducted on diverse handwritten datasets to assess the performance of the proposed approaches. The results demonstrate the significant benefits of combining artificial neural networks with statistical techniques to achieve high levels of accuracy in character recognition, paving the way for practical applications. This study makes substantial contributions to the field of handwritten character recognition by highlighting the synergistic advantages of neural networks and statistical methods, which will aid in the development of more accurate and robust authentication systems for future applications. © 2024 IEEE.

关键词： Convolution

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Boosting solar hydrogen production via electrostatic interaction mediated ***-TiO_(2−x)biohybrid system

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Nano Research 2024年第6期17卷 5390-5398页

作者： Xingxing Lv Weicheng Huang Ya Gao Rui Chen Xiaowei Chen Danqing Liu Ling Weng Liangcan He Shaoqin Liu School of Material Science and Chemical Engineering Harbin University of Science and TechnologyHarbin 150040China School of Medicine and Health and Key Laboratory of Micro-systems and Micro-structures Manufacturing of Ministry of EducationHarbin Institute of TechnologyHarbin 150001China Department of Physics School of ScienceJimei UniversityXiamen 361021China Zhengzhou Research Institute Harbin Institute of TechnologyZhengzhou 450046China

Hydrogen is garnering growing attention as a green energy source with zero carbon ***,most hydrogen production technologies still rely on the consumption of fossil fuels and are therefore *** has driven the search for more environmentally friendly methods of hydrogen *** this work,we present an innovative approach to enhance hydrogen generation via electrostatic interaction in the Escherichia coli and defective titanium dioxide(TiO_(2−x))*** method involves narrowing the forbidden bandwidth of TiO2 while introducing defect bands into its conduction band to facilitate visible light absorption and efficient charge *** biohybrid system,consisting of *** and TiO_(2−x),demonstrates a remarkable capability to produce 1.25 mmol of hydrogen within a 3-h timeframe under visible light *** accomplishment signifies a 3.31-fold rise in hydrogen production in comparison to ***,signifying a substantial enhancement in hydrogen production ***,we delve into the alterations in biological metabolites associated with hydrogen production and the changes in electron transfer in different biohybrid *** provides valuable insights into the understanding of the intrinsic mechanisms that drive the *** work introduces a novel and promising avenue for achieving this exciting goal.

关键词： Escherichia coli TiO_(2−x)nanoparticles biohybrid system hydrogen production

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Multistep Modelling and Monitoring of Bioprocesses

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International Journal Bioautomation 2024年第4期28卷 185-196页

作者： Lyubenova, Velislava Ignatova, Maya Kristeva, Denitsa Roeva, Olympia Department of Mechatronic Bio Technological Systems Institute of Robotics Bulgarian Academy of Science Acad. G. Bonchev Str. Bl. 2 Sofia1113 Bulgaria Department of Bioinformatics and Mathematical Modelling Institute of Biophysics and Biomedical Engineering Bulgarian Academy of Sciences Acad. G. Bonchev Str. Bl. 105 Sofia1113 Bulgaria

A new approach is proposed for modelling and monitoring bioprocesses dynamics characterized by different metabolic states. Bioprocesses cannot be described by a single model. For this reason, three phases characterised by the bioprocess are defined – periodic, exponential, and stationary. During each phase, the process passes through one or more physiological states. Each physiological state is described by a sub-model with a different structure and parameter values. The transition of the process from one physiological state to another is carried out by switching the sub-models based on a predefined key parameter. Monitoring is performed by a cascade of software sensors using the sub-models and real-time measurement of the concentrations of the main process variables. The proposed approach was tested by modelling and monitoring the Escherichia coli phytase production process. © 2024 by the authors.

关键词： Escherichia coli

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Airspace Geofencing Volume Sizing with an Advanced Air Mobility Vehicle Performance Model 41

Airspace Geofencing Volume Sizing with an Advanced Air Mobil...

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41st IEEE/AIAA Digital Avionics systems Conference, DASC 2022

作者： Kim, Joseph Liberko, Nicholas Atkins, Ella University of Michigan Robotics Institute United States Collins Aerospace Mission Systems University of Michigan Aiaa Fellow Aerospace Engineering Department and Robotics Department United States

ISBN: (数字)9781665486071

ISBN: (纸本)9781665486071

Airspace geofencing is a key enabler for versatile and safe low-altitude Unmanned Aircraft System (UAS) Traffic Management (UTM). Geofenced airspace volume sizing analysis is necessary to assure efficiency and safety for a broad suite of emerging UAS applications. Airspace safety buffer sizes can be determined and verified by modeling vehicle dynamics as well as quantifying guidance, navigation and control uncertainties. This paper proposes a methodology to design safety buffer sizes given specific vehicle and sensor properties and wind. These parameters are then translated to geofence safety buffer dimensions for straight and turning flight to statistically guarantee an aircraft will stay inside its flight trajectory based keep-in geofence. Vehicle, sensor, and wind parameters are tabulated and analyzed over a prescribed flight trajectory using a Computational Fluid Dynamics (CFD) analysis. Case studies using a small UAS model and a full-size advanced air mobility (AAM) aircraft model provide comparison of geofence volume sizings. © 2022 IEEE.

关键词： Air mobility

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Adaptive-extremum seeking control algorithm to seek the odor source using a multi-agent system 41

Adaptive-extremum seeking control algorithm to seek the odor...

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第41届中国控制会议

作者： Meh Jabeen Qing-Hao Meng Li-Cheng Jin Sheng Jin Zhen-Yu Deng Institute of Robotics and Autonomous Systems School of Electrical and Information EngineeringTianjin University Department of Software Engineering The University of Lahore Tianjin Fire Science and Technology Research Institute of MEM

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This study aims to seek the odor source using a multi-agent *** main challenge of the odor source seeking is to search the optimal extremum in the presence of multiple local extrema in a gradient complex *** this,an adaptive-extremum seeking control(adaptive-ESC) algorithm has been *** are navigated to the vicinity of the source based on an estimated gradient using *** the proposed algorithm,both the integral gain and the amplitude of the perturbation signal are adjusted *** local convergence of the algorithm has been proved using averaging *** performance of the proposed algorithm is validated through simulations by employing a multi-agent system.

关键词： Odor source seeking Extremum seeking control Adaption approaches

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Towards designing high mechanical performance low-alloyed wrought magnesium alloys via grain boundary segregation strategy:A review

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Journal of Magnesium and Alloys 2024年第5期12卷 1774-1791页

作者： Zhi Zhang Jinshu Xie Jinghuai Zhang Xu-Sheng Yang Ruizhi Wu Key Laboratory of Superlight Material and Surface Technology Ministry of EducationCollege of Materials Science and Chemical EngineeringHarbin Engineering UniversityHarbin 150001China State Key Laboratory of Ultra-Precision Machining Technology Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina Hong Kong Polytechnic University Shenzhen Research Institute Shenzhen 518060China

Low-alloyed magnesium(Mg)alloys have emerged as one of the most promising candidates for lightweight ***,their further application potential has been hampered by limitations such as low strength,poor plasticity at room temperature,and unsatisfactory *** address these challenges,grain refinement and grain structure control have been identified as crucial factors to achieving high performance in low-alloyed Mg *** effective way for regulating grain structure is through grain boundary(GB)*** review presents a comprehensive summary of the distribution criteria of segregated atoms and the effects of solute segregation on grain size and growth in Mg *** analysis encompasses both single element segregation and multi-element co-segregation behavior,considering coherent interfaces and incoherent ***,we introduce the high mechanical performance low-alloyed wrought Mg alloys that utilize GB segregation and analyze the potential impact mechanisms through which GB segregation influences materials *** upon these studies,we propose strategies for the design of high mechanical performance Mg alloys with desirable properties,including high strength,excellent ductility,and good formability,achieved through the implementation of GB *** findings of this review contribute to advancing the understanding of grain boundary engineering in Mg alloys and provide valuable insights for future alloy design and optimization.

关键词： Magnesium alloys Grain boundary segregation High strength High plasticity High formability

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Tetris-Style Stacking Process to Tailor the Orientation of Carbon Fiber Scaffolds for Efficient Heat Dissipation

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Nano-Micro Letters 2023年第9期15卷 310-324页

作者： Shida Han Yuan Ji Qi Zhang Hong Wu Shaoyun Guo Jianhui Qiu Fengshun Zhang The State Key Laboratory of Polymer Materials Engineering Sichuan Provincial Engineering Laboratory of Plastic/Rubber Complex Processing TechnologyPolymer Research Institute of Sichuan UniversityChengdu 610065People’s Republic of China Department of Mechanical Engineering Faculty of Systems Science and TechnologyAkita Prefectural University015-0055AkitaJapan Institute of Chemical Materials China Academy of Engineering PhysicsMianyang 621900People’s Republic of China

As the miniaturization of electronic devices and complication of electronic packaging,there are growing demands for thermal interfacial materials with enhanced thermal conductivity and the capability to direct the heat toward heat sink for highly efficient heat ***-based carbon fiber(CF)with ultrahigh axial thermal conductivity and aspect ratios exhibits great potential for developing thermally conductive composites as ***,it is still hard to fabricate composites with aligned carbon fiber in a general approach to fully utilize its excellent axial thermal conductivity in specific ***,three types of CF scaffolds with different oriented structure were developed via magnetic field-assisted Tetris-style stacking and carbonization *** regulating the magnetic field direction and initial stacking density,the self-supporting CF scaffolds with horizontally aligned(HCS),diagonally aligned and vertically aligned(VCS)fibers were *** embedding the polydimethylsiloxane(PDMS),the three composites exhibited unique heat transfer properties,and the HCS/PDMS and VCS/PDMS composites presented a high thermal conductivity of 42.18 and 45.01 W m^(−1)K^(−1)in fiber alignment direction,respectively,which were about 209 and 224 times higher than that of *** excellent thermal conductivity is mainly ascribed that the oriented CF scaffolds construct effective phonon transport pathway in the *** addition,fishbone-shaped CF scaffold was also produced by multiple stacking and carbonization process,and the prepared composites exhibited a controlled heat transfer path,which can allow more versatility in the design of thermal management system.

关键词： Carbon fiber Magnetic field Thermal management Thermally conductive composites

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