检索结果-内蒙古大学图书馆

AIoT for Aircraft Final Assembly:An Intelligent and Collaborative Framework

Journal of Communications and Information Networks 2024年第3期9卷 262-276页

作者： Cheng Ren Xiaojing Wen Xinping Guan Cailian Chen Yehan Ma Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

Aircraft final assembly line(AFAL)involves thousands of processes that must be completed before ***,the heavy reliance on manual labor in most assembly processes affects the quality and prolongs the delivery *** the advent of artificial intelligence of things(AIoT)technologies has introduced advancements in certain AFAL scenarios,systematically enhancing the intelligence level of the AFAL and promoting the widespread deployment of artificial intelligence(AI)technologies remain significant *** address these challenges,we propose the intelligent and collaborative aircraft assembly(ICAA)framework,which integrates AI technologies within a cloud-edge-terminal *** ICAA framework is designed to support AI-enabled applications in the AFAL,with the goal of improving assembly efficiency at both individual and multiple process *** analyze specific demands across various assembly scenarios and introduce corresponding AI technologies to meet these *** three-tier ICAA framework consists of the assembly field,edge data platform,and assembly cloud platform,facilitating the collection of heterogeneous terminal data and the deployment of AI *** framework enhances assembly efficiency by reducing reliance on manual labor for individual processes and fostering collaboration across multiple *** provide detailed descriptions of how AI functions at each level of the ***,we apply the ICAA framework to a real AFAL,focusing explicitly on the flight control system testing *** practical implementation demonstrates the effectiveness of the framework in improving assembly efficiency and promoting the adoption of AIoT technologies.

关键词： intelligent aircraft final assembly line AIoT cloud-edge-terminal framework design

来源：评论

学校读者我要写书评

暂无评论

Optimal Strategy for Aircraft Pursuit-evasion Games via Self-play Iteration

引用

Machine Intelligence Research 2024年第3期21卷 585-596页

作者： Xin Wang Qing-Lai Wei Tao Li Jie Zhang State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing100049China Institute of Systems Engineering Macao University of Science and TechnologyMacao999078China

In this paper,the pursuit-evasion game with state and control constraints is solved to achieve the Nash equilibrium of both the pursuer and the evader with an iterative self-play *** the condition where the Hamiltonian formed by means of Pontryagin’s maximum principle has the unique solution,it can be proven that the iterative control law converges to the Nash equilibrium ***,the strong nonlinearity of the ordinary differential equations formulated by Pontryagin’s maximum principle makes the control policy difficult to figured *** the system dynamics employed in this manuscript contains a high dimensional state vector with *** practical applications,such as the control of aircraft,the provided overload is ***,in this paper,we consider the optimal strategy of pursuit-evasion games with constant constraint on the control,while some state vectors are restricted by the function of the *** address the challenges,the optimal control problems are transformed into nonlinear programming problems through the direct collocation ***,two numerical cases of the aircraft pursuit-evasion scenario are given to demonstrate the effectiveness of the presented method to obtain the optimal control of both the pursuer and the evader.

关键词： Differential games pursuit-evasion games nonlinear control optimal control Nash equilibrium solution

来源：评论

学校读者我要写书评

暂无评论

Reinforcement Learning for Multiple-Input Multiple-Output control in Metal Additive Manufacturing 20

Reinforcement Learning for Multiple-Input Multiple-Output Co...

引用

20th IEEE International Conference on Networking, Sensing and control, ICNSC 2023

作者： Grais, Emad M. Notley, Scott V. Panoutsos, George University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom

ISBN: (纸本)9798350369502

In laser powder bed fusion additive manufacturing, using fixed values for the process parameters (beam power, velocity, and other parameters) may not lead to homogeneously distributed heat in all locations in the build, especially around complex design features. This could lead to builds with defects, leading to poor mechanical and micro-structure properties. To guarantee heat homogeneity, the process parameters need to be actively controlled to adapt to different locations in the build. Builds with varying geometrical features would need different control strategies. In this work, we propose to use reinforcement learning (RL) to control, for the first time, simultaneously multiple AM process parameters to achieve consistent melting properties. Our results show that using RL as a multiple-input multiple-output control system achieves a more consistent meltpool geometry. © 2023 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

ADAPTIVE FILTERING AND DEEP LEARNING FOR STOCK PRICE PREDICTIONS 21

ADAPTIVE FILTERING AND DEEP LEARNING FOR STOCK PRICE PREDICT...

引用

21st International Industrial Simulation Conference, ISC 2023

作者： Portelli, Samwel Scerri, Kenneth Department of Systems and Control Engineering University of Malta MsidaMSD 2080 Malta

ISBN: (纸本)9789492859266

The algorithmic identification of profitable investment strategies has become a popular trading tool. Among the most common strategies, deep learning has emerged as the method of choice in modelling such complex temporal dynamics. Nevertheless, deep-learning model architectures capable of capturing the non-linear and volatile nature of stock price time-series is still a widely researched topic. In this work, we report on the use of adaptive filtering as a pre-processing step, prior to deep learning. Various neural network architectures are considered and compared. We show that for technology stock prices over the last few years, the Convolutional Neural Network (CNN) is the best performing model, obtaining a mean PCD of 63.84%. Simple investment strategies based on this predictive model are shown to give a capital profit of 97.22% per annum, even during the challenging COVID pandemic period. © 2023 EUROSIS-ETI.

关键词： Adaptive filtering

来源：评论

学校读者我要写书评

暂无评论

A Machine-Learning Approach for Prognosis of Oscillating Water Column Wave Generators 27

A Machine-Learning Approach for Prognosis of Oscillating Wat...

引用

27th International Conference on Circuits, systems, Communications and Computers, CSCC 2023

作者： Garrido, Izaskun Lecube, Jon Mzoughi, Fares Aboutalebi, Pavam Ahmad, Irfan Cayuela, Salvador Garrido, Ailtor University of the Basque Country-UPV/EHU Automatic Control Group Acg Department of Automatic Control and Systems Engineering Bilbao Spain

ISBN: (纸本)9798350337594

Wave excitations cause structural vibrations on the Oscillating Water Columns (OWC) lowering the generated power and reducing the life expectancy. The problem of generator deterioration has been considered for the Mutriku MOWC plant and a machine learning-based approach for prognosis and fault characterization has been proposed. In particular, the use of k-Nearest Neighbors (kNN) models for predicting the time to failure of OWC generators has been proposed. The analysis is based on data collected from sensors that measure various operational parameters of the turbines. The results demonstrate that the proposed kNN model is an excellent choice for reducing maintenance costs by enabling scheduling months in advance. The model's high accuracy in predicting generator failures allows for timely and cost-effective maintenance, preventing costly breakdowns and improving turbine efficiency. These results highlight the potential of machine learning-based approaches for addressing maintenance challenges in the energy sector and underscore the importance of proactive strategies in reducing operational costs and maximizing energy production. © 2023 IEEE.

关键词： Cost effectiveness

来源：评论

学校读者我要写书评

暂无评论

Evaluating the Non-participation Penalty in Renewable Energy Utilization to Supply a Portion of Electricity for large Industries in Iran 9

Evaluating the Non-participation Penalty in Renewable Energy...

引用

9th International Conference on Technology and Energy management, ICTEM 2024

作者： Najafi, Mahdi Kiani, Hossein Nazari, Mohammad Hassan Gharepetian, Gevork B. Hosseinian, S.H. Sarbazi, Jafar Amirkabir University of Technology Department of Electrical Engineering Tehran Iran Smart Control Systems Research Department Tehran Iran

ISBN: (纸本)9798350329797

This paper, investigates the consequences of Non-Participation Penalty (NPP) imposed on large industries in Iran for their non-compliance with renewable energy usage. The study presents ten distinct configurations of a hybrid system incorporating grid, wind turbines (WTs), photovoltaic (PV), and diesel generator. HOMER Pro software was used to evaluate scenarios based on real data from a large industrial plant, analyzing the impact of variables on economic parameters, with a particular focus on NPC. According to the results, the integration of diesel generators in WT and PV combinations leads to reductions in both Net Present Cost (NPC) and Cost of Energy (COE) within the hybrid systems and using renewable energy is more cost-effective than accepting the fine and using only the grid until electricity prices increase by 5% annually. Also, its NPC is at least 4.62$ less. © 2024 IEEE.

关键词： Clean energy

来源：评论

学校读者我要写书评

暂无评论

Human arm motion capture system 9

Human arm motion capture system

引用

9th International Conference on Mathematics and Computers in Sciences and Industry, MCSI 2024

作者： Olar, Marius Leonard Leba, Monica Ionica, Andreea University of Petrosani Department of System Control and Computer Engineering Petrosani Romania University of Petrosani Department of Management and Industrial Engineering Petrosani Romania

ISBN: (纸本)9798350377224

The implementation of robotics and human support technologies has opened up new possibilities for recovering the mobility impaired and increasing human productivity in the last few decades. Exoskeletons have been developed as a major component of this progress in order to capture any form of arm motion be it passive or active. Motion capture systems, employing different sensors like IMU sensors, EMG sensors, motion sensors, fiber optic sensors are used to capture arm movements. These sensors provide information on position, movement, muscle contraction, and movement intent of the arm. The use of multiple sensor types allows for redundancy and accurate outcomes. Potentiometer position sensor can be combined with other types of sensors to measure acceleration, orientation, force exerted and arm bendability. The combinations improve accuracy and adaptability for arm motion capture during rehabilitation. Various combinations of adapted sensors can be used for each joint of the hand depending on the peculiarities of application. Sensors enable precise and natural control over recovery devices or exoskeletons which is especially important in terms of rehabilitation process improvement. © 2024 IEEE.

关键词： Exoskeleton (Robotics)

来源：评论

学校读者我要写书评

暂无评论

eVTOL Performance Analysis: A Review From control Perspectives

IEEE Transactions on Intelligent Vehicles

引用

IEEE Transactions on Intelligent Vehicles 2024年第5期9卷 1-13页

作者： Su, Jiangcheng Huang, Hailong Zhang, Hong Wang, Yutong Wang, Fei-Yue Department of Aeronautical and Aviation Engineering Hong Kong Polytechnic University Hong Kong China Co. Ltd. Guangzhou China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Electric Vertical Takeoff and Landing (eVTOL) aircraft has gained significant attention as a basic element of urban air mobility (UAM), a potential solution for urban transportation challenges using low-altitude urban airspace. Ensuring the safe operation of eVTOL is crucial for UAM applications, which are related to various professional fields such as aerodynamics, control, structures, and power systems. This article systematically analyzes the characteristics of different design configurations, including multi-rotor, lift+cruise, and tilt-rotor types of eVTOL. The advantages and limitations of each type of eVTOL are analyzed. After that, the overall design problems are analyzed, and challenges of eVTOL control system design are discussed from aspects of overall control structure and subsystems, such as controller, sensors, actuators, and command generator. This article tries to fill the gap in the eVTOL design from a control perspective and provides some resolutions for the eVTOL application. IEEE

关键词： Air mobility

来源：评论

学校读者我要写书评

暂无评论

TOWARDS A MULTI-USER EXPERIENCE DATA-DRIVEN DESIGN FRAMEWORK FOR SUSTAINABLE SMART TAKE-AWAY FOOD PACKAGING

TOWARDS A MULTI-USER EXPERIENCE DATA-DRIVEN DESIGN FRAMEWORK...

引用

ASME 2024 International Design engineering Technical Conferences and Computers and Information in engineering Conference, IDETC-CIE 2024

作者： Camilleri, Tamasine Farrugia, Philip Refalo, Paul Bugeja, Marvin Department of Industrial & Manufacturing Engineering Faculty of Engineering University of Malta Msida Malta Department of Systems & Control Engineering Faculty of Engineering University of Malta Msida Malta

ISBN: (纸本)9780791888353

Smart packaging transcends traditional packaging’s basic functions by meeting emerging consumer expectations for quality and sustainability. COVID-19 has notably increased take-away orders, spotlighting the need for sustainable food packaging. By incorporating smart features, packaging usability is enhanced, and the likelihood of disposal due to obsolescence is reduced. Moreover, smart packaging acceptance relies on consumer values. To address these evolving needs, designers are encouraged to embrace a user-centered design (UCD) approach to develop sustainable smart take-away packaging. However, a review of literature reveals a gap in design support systems that could assist designers in this endeavor. Interviews with packaging designers outlined framework requirements, leading to the creation of SUSTAIN-MULTI-UCD. This framework advocates for a multi-UCD approach tailored for sustainable smart take-away packaging development. The innovative use of big data analytics in this context enables gathering diverse user data to help enhance user experience. The SUSTAIN-MULTI-UCD contribution lies in applying big data analytics to the data-driven UCD of sustainable smart take-away packaging, offering insights that could be beneficial across various food packaging applications. Furthermore, innovations in the framework’s data-driven approaches, such as the application of topic modelling and text classification, identifies user requirements, and furthermore guides the designer on how to meet these needs. Copyright © 2024 by ASME.

关键词： UX Data-driven design Design Food products Packaging design support framework Sustainability smart food packaging sustainable design big data analysis

来源：评论

学校读者我要写书评

暂无评论

CONTINUOUS-TIME IDENTIFICATION OF DYNAMIC STATE-SPACE MODELS BY DEEP SUBSPACE ENCODING 11

CONTINUOUS-TIME IDENTIFICATION OF DYNAMIC STATE-SPACE MODELS...

引用

11th International Conference on Learning Representations, ICLR 2023

作者： Beintema, Gerben I. Schoukens, Maarten Tóth, Roland Department of Electrical Engineering Eindhoven University of Technology Netherlands Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary

Continuous-time (CT) modeling has proven to provide improved sample efficiency and interpretability in learning the dynamical behavior of physical systems compared to discrete-time (DT) models. However, even with numerous recent developments, the CT nonlinear state-space (NL-SS) model identification problem remains to be solved in full, considering common experimental aspects such as the presence of external inputs, measurement noise, latent states, and general robustness. This paper presents a novel estimation method that addresses all these aspects and that can obtain state-of-the-art results on multiple benchmarks with compact fully connected neural networks capturing the CT dynamics. The proposed estimation method called the subspace encoder approach (SUBNET) ascertains these results by efficiently approximating the complete simulation loss by evaluating short simulations on subsections of the data, by using an encoder function to estimate the initial state for each subsection and a novel state-derivative normalization to ensure stability and good numerical conditioning of the training process. We prove that the use of subsections increases cost function smoothness together with the necessary requirements for the existence of the encoder function and we show that the proposed state-derivative normalization is essential for reliable estimation of CT NL-SS models. © 2023 11th International Conference on Learning Representations, ICLR 2023. All rights reserved.

关键词： Cost functions

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：