检索结果-内蒙古大学图书馆

SSRN 2024年

作者： Adamczyk, Wojciech P. Myöhänen, Kari Klajny, Marcin Kettunen, Ari Klimanek, Adam Bialecki, Ryszard Sladek, Slawomir Zdeb, Janusz Budnik, Michal Peczkis, Grzegorz Gladysz, Pawel Pawlak, Sebastian Zhou, Minmin Jachymek, Piotr Andrzejczyk, Marek Ryfa, Arkadiusz Silesian University of Technology Department of Thermal Technology Konarskiego 22 Gliwice44-100 Poland Silesian University of Technology Department of Power Engineering and Turbomachinery Konarskiego 18 Gliwice44–100 Poland Tauron Inwestycje S.A. Pokoju 14 Będzin 42-504 Poland Tauron Wytwarzanie S.A. Promienna 51 Jaworzno43–603 Poland Sumitomo SHI FW Energia Polska Sp. z o.o. Staszica 31 Sosnowiec41-200 Poland LUT School of Energy Systems LUT University Yliopistonkatu 34 LappeenrantaFI-53850 Finland AGH University of Krakow Faculty of Applied Mathematics Al. A. Mickiewicza 30 Kraków30-059 Poland Key Laboratory of Energy Thermal Conversion and Control Ministry of Education School of Energy and Environment Southeast University Nanjing China The University of Utah Department of Chemical Engineering United States

This paper presents advanced predictive and prescriptive artificial intelligence (AI) algorithms to control industrial installations. The functionality of these algorithms was demonstrated through their application for a circulating fluidized bed (CFB~1300) power unit with a capacity of 460 MWe. An AI-driven prescriptive method was developed to control specific power plant devices and improve boiler operation. The capabilities of this system were demonstrated for the automatic identification of malfunctions within two crucial parts of the power unit: the electrical transformer and membrane wall of the combustion chamber. Additionally, the system uses a customized optimization algorithm to regulate the oxygen distribution in the combustion chamber. Incorporating the developed control system methodology adjusted the fuel distribution, which in turn impacted the overall performance of the boiler. This method was tested under various boiler operating conditions. The proposed methodology integrates an informatics framework that combines adaptive predictive and prescriptive models with control systems. This integration includes optimization algorithms, digital twins (numerical representations of key components), databases, and algorithms for managing component states. © 2024, The Authors. All rights reserved.

关键词： Optimization

来源：评论

学校读者我要写书评

暂无评论

Preface

引用

Synthesis Lectures on Biomedical Engineering 2023年 Part F679卷 vii-viii页

作者： Zhuang, Songlin Zhang, Gefei Lei, Dongxu Yu, Xinghu Tong, Mingsi Lin, Weiyang Shi, Yang Gao, Huijun Yongjiang Laboratory Ningbo China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Heilongjiang Harbin China Department of Mechanical Engineering University of Victoria VictoriaBC Canada LTD Ningbo Institute of Intelligent Equipment Technology Company Ningbo China

来源：评论

学校读者我要写书评

暂无评论

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

arXiv

引用

arXiv 2023年

作者： Du, Hongyang Zhang, Ruichen Liu, Yinqiu Wang, Jiacheng Lin, Yijing Li, Zonghang Niyato, Dusit Kang, Jiawen Xiong, Zehui Cui, Shuguang Ai, Bo Zhou, Haibo Kim, Dong In The School of Computer Science and Engineering The Energy Research Institute @ NTU Interdisciplinary Graduate Program Nanyang Technological University Singapore The School of Computer Science and Engineering Nanyang Technological University Singapore The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications China The School of Information and Communication Engineering University of Electronic Sciences and Technology of China Chengdu China The School of Automation Guangdong University of Technology China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore Shenzhen China The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China School of Electronic Science and Engineering Nanjing University Jiangsu Nanjing210093 China The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of

Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across various applications. The ability to model complex data distributions and generate high-quality samples has made GDMs particularly effective in tasks such as image generation and reinforcement learning. Furthermore, their iterative nature, which involves a series of noise addition and denoising steps, is a powerful and unique approach to learning and generating data. This paper serves as a comprehensive tutorial on applying GDMs in network optimization tasks. We delve into the strengths of GDMs, emphasizing their wide applicability across various domains, such as vision, text, and audio generation. We detail how GDMs can be effectively harnessed to solve complex optimization problems inherent in networks. The paper first provides a basic background of GDMs and their applications in network optimization. This is followed by a series of case studies, showcasing the integration of GDMs with Deep Reinforcement Learning (DRL), incentive mechanism design, Semantic Communications (SemCom), Internet of Vehicles (IoV) networks, etc. These case studies underscore the practicality and efficacy of GDMs in real-world scenarios, offering insights into network design. We conclude with a discussion on potential future directions for GDM research and applications, providing major insights into how they can continue to shape the future of network optimization. © 2023, CC BY.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Co-Contraction Analyses of the Body Wall Muscles in Caenorhabditis Elegans by Calcium Imaging Assay and Simulation

Research Square

引用

Research Square 2021年

作者： Soh, Zu Yamashita, Hiroki Suzuki, Michiyo Sakamoto, Kazuma Tsuji, Toshio Department of Electrical Systems and Control Engineering Faculty of Advanced Science and Engineering Hiroshima University Hiroshima Higashi-Hiroshima739–8527 Japan Department of Radiation-Applied Biology Research Takasaki Advanced Radiation Research Institute National Institutes for Quantum and Radiological Science and Technology Gunma Takasaki370-1292 Japan

Caenorhabditis elegans can generate locomotion under various environments with completely different drag levels. Therefore, animals should have strategies for adapting to the changes in the dynamics of locomotion imposed by various environments. We hypothesized that co-contraction between the ventral and dorsal body wall muscles plays such a role and validated the presence of a co-contraction strategy through both experimental and mathematical modeling approaches. To this end, the fluorescence of calcium ion (Ca2+) corresponding to a part of activities of the body wall muscles was measured. The results indicated a significant difference in the co-fluorescence rate between the animals moving in low- and high-drag environments. The contribution of co-contraction to the dynamics of locomotion was then analysed using a body dynamics model. The simulation results suggested that co-contraction allows the dominance of body stiffness over viscous drag so that the phase difference between the local curvature of the body and muscle activities can be maintained under different environmental drag levels. Therefore, co-contraction can be an effective strategy for adapting to environmental drag that changes the dynamics of locomotion. © 2021, CC BY.

关键词： Drag

来源：评论

学校读者我要写书评

暂无评论

Optimal design of the inlet temperature based periodic operation of non-isothermal CSTR using nonlinear output frequency response functions

引用

IFAC-PapersOnLine 2018年第18期51卷 620-625页

作者： Shi, Hongyan Lang, Z.Q. Zhu, Yunpeng Yuan, Decheng Wang, Wei Department of Information Engineering Shenyang University of Chemical and Technology Shenyang110142 China Department of Automatic and Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Department of Control Science and Engineering Dalian University of Technology Dalian116024 China

The periodic operation of a non-isothermal continuous stirred tank reactor (CSTR) using inlet temperature modulation is investigated in this paper. The DC component of the CSTR output concentration is optimized by tuning the modulation parameters of the inlet temperature in order to achieve a maximum conversion using a Nonlinear Output Frequency Response Functions (NOFRFs) based approach. The results show that the new approach is fast and efficient in the analysis and design of the periodic operation of CSTR and can potentially be applied to conduct the optimal design of periodic operation of other chemical engineering processes. © 2018

关键词： Optimal systems Chemical analysis Frequency response Isotherms Modulation Chemical engineering process Continuous stirred tank reactor Frequency domains Modulation parameters Non linear output frequency response function Optimal design Output concentrations Periodic operation

来源：评论

学校读者我要写书评

暂无评论

Target-enclosing affine formation control of two-layer networked spacecraft with collision avoidance

引用

Chinese Journal of Aeronautics 2019年第12期32卷 2679-2693页

作者： Yang XU Delin LUO Dongyu LI Yancheng YOU Haibin DUAN School of Aerospace Engineering Xiamen UniversityXiamen 361005China Department of Control Science and Engineering Harbin Institute of TechnologyHarbin 150001China State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical EngineeringBeihang UniversityBeijing 100083China Department of Electrical&Computer Engineering National University of SingaporeSingapore 117583Singapore

This paper addresses a target-enclosing problem for multiple spacecraft systems by proposing a two-layer affine formation control strategy. Compared with the existing methods,the adopted two-layer network structure in this paper is generally directed, which is suitable for practical space missions. Firstly, distributed finite-time sliding-mode estimators and formation controllers in both layers are designed separately to improve the flexibility of the formation control system. By introducing the properties of affine transformation into formation control protocol design,the controllers can be used to track different time-varying target formation patterns. Besides, multilayer time-varying encirclements can be achieved with particular shapes to surround the moving target. In the sequel, by integrating adaptive neural networks and specialized artificial potential functions into backstepping controllers, the problems of uncertain Euler-Lagrange models, collision avoidance as well as formation reconfiguration are solved simultaneously. The stability of the proposed controllers is verified by the Lyapunov direct method. Finally, two simulation examples of triangle formation and more complex hexagon formation are presented to illustrate the feasibility of the theoretical results.

关键词： Affine formation control Collision avoidance Lyapunov stability Target enclosing Two-layer strategy

来源：评论

学校读者我要写书评

暂无评论

Adaptive identification method for simulation and control of glass melting process

Adaptive identification method for simulation and control of...

引用

International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Witold Byrski Michał Drapała Department of Automatic Control and Robotics AGH University of Science and Technology Kraków

Adaptive identification method based on modulating function approach is described in this paper. The real glass melting process is modelled by a linear system, which parameters values can be changed on-line during the identification procedure. The overall model is composed of several submodels. The models, which inputs can be controlled, are approximated by the Strejc transfer function. This approach allows to reduce the number of model parameters. Moreover, PID tuning methods dedicated to the Strejc models can be applied. The developed procedure was applied for data collected from a real glass containers production installation.

关键词： Mathematical model Glass MISO communication Transfer functions Performance analysis Linear systems Containers

来源：评论

学校读者我要写书评

暂无评论

KPIs for Manufacturing Operations Management: driving the ISO22400 standard towards practical applicability

引用

IFAC-PapersOnLine 2018年第11期51卷 7-12页

作者： Varisco, Martina Johnsson, Charlotta Mejvik, Jacob Schiraldi, Massimiliano M. Zhu, Li Dept. of Enterprise Engineering “Tor Vergata” University of Rome Rome Italy Dept. of Automatic Control Lund University Lund Sweden Dept. of Control Science and Engineering Dalian University of Technology guest researcher at Department of Automatic Control Lund University Dalian China

A set of key performance indicators (KPIs) for manufacturing operation management is introduced in the ISO 22400 standard. However, KPIs are only defined at a high abstraction level and this hampers the standard's practical adoption. In this paper, a framework is introduced in order to solve this weakness. Starting from the analysis of the relevant measurements used in the KPIs’ formulas, a classification model is introduced defining three possible application scopes - work orders, work units and production orders - to analyze each basic element of the standard. As a result, the KPIs defined in the ISO 22400 standard are more precisely specified and, as a consequence, also suitable to be straightforwardly implemented in performance measurement systems. © 2018

关键词： ISO Standards Benchmarking Manufacture Supply chain management Enterprise system ISO 22400 Key performance indicators Operations management Performance evaluations

来源：评论

学校读者我要写书评

暂无评论

A sensory signature of unaffected biological parents predicts the risk of autism in their offspring

引用

Psychiatry and Clinical Neurosciences 2024年第1期78卷 60-68页

作者： Chen, Chenyi Cheng, Yawei Wu, Chien-Te Chiang, Chung-Hsin Wong, Ching-Ching Huang, Chih-Mao Martínez, Róger Marcelo Tzeng, Ovid J. L. Fan, Yang-Teng Graduate Institute of Injury Prevention and Control College of Public Health Taipei Medical University Taipei Taiwan Research Center of Brain and Consciousness Shuang-Ho Hospital Taipei Medical University New Taipei City Taiwan Graduate Institute of Mind Brain and Consciousness College of Humanities and Social Sciences Taipei Medical University Taipei Taiwan Psychiatric Research Center Wan Fang Hospital Taipei Medical University Taipei Taiwan Institute of Neuroscience and Brain Research Center National Yang Ming Chiao Tung University Taipei Taiwan Department of Physical Medicine and Rehabilitation National Yang Ming Chiao Tung University Hospital Yilan Taiwan International Research Center for Neurointelligence (WPI-IRCN) The University of Tokyo Institutes for Advanced Study (UTIAS) The University of Tokyo Tokyo Japan Department of Psychology and Research Center for Mind Brain and Learning National Chengchi University Taipei Taiwan Child Developmental Assessment & Intervention Center Department of Child & Adolescent Psychiatry Taipei City Hospital Taipei Taiwan Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu Taiwan Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) National Yang Ming Chiao Tung University Hsinchu Taiwan School of Psychological Sciences National Autonomous University of Honduras Tegucigalpa Honduras Cognitive Neuroscience Laboratory Institute of Linguistics Academia Sinica Taipei Taiwan College of Humanities and Social Sciences Taipei Medical University Taipei Taiwan Department of Educational Psychology and Counseling National Taiwan Normal University Taipei Taiwan Graduate Institute of Medicine Yuan Ze University Taoyuan Taiwan

Aim: Despite the emphasis on sensory dysfunction phenotypes in the revised diagnostic criteria for autism spectrum disorder (ASD), there has been limited research, particularly in the field of neurobiology, investigating the concordance in sensory features between individuals with ASD and their genetic relatives. Therefore, our objective was to examine whether neurobehavioral sensory patterns could serve as endophenotypic markers for ASD. Methods: We combined questionnaire- and lab-based sensory evaluations with sensory fMRI measures to examine the patterns of sensory responsivity in 30 clinically diagnosed with ASD, 26 matched controls (CON), and 48 biological parents for both groups (27 parents of individuals with ASD [P-ASD] and 21 for individuals with CON [P-CON]). Results: The ASD and P-ASD groups had higher sensory responsivity and rated sensory stimuli as more unpleasant than the CON and P-CON groups, respectively. They also exhibited greater hemodynamic responses within the sensory cortices. Overlapping activations were observed within these sensory cortices in the ASD and P-ASD groups. Using a machine learning approach with robust prediction models across cohorts, we demonstrated that the sensory profile of biological parents accurately predicted the likelihood of their offspring having ASD, achieving a prediction accuracy of 71.4%. Conclusions: These findings provide support for the hereditary basis of sensory alterations in ASD and suggest a potential avenue to improve ASD diagnosis by utilizing the sensory signature of biological parents, especially in families with a high risk of ASD. This approach holds promising prospects for early detection, even before the birth of the offspring. © 2023 The Authors. Psychiatry and Clinical Neurosciences published by John Wiley & Sons Australia, Ltd on behalf of Japanese Society of Psychiatry and Neurology.

关键词： autism spectrum disorder endophenotype machine learning parent–child dyads sensory responsivity

来源：评论

学校读者我要写书评

暂无评论

Fault-tolerant control based on Back-stepping and Fixed-time Disturbance Estimation for Hypersonic Reentry Vehicles

Fault-tolerant Control based on Back-stepping and Fixed-time...

引用

IEEE International Conference on Unmanned systems (ICUS)

作者： Tiancai Wu Honglun Wang Yue Yu Na Li Yiheng Liu Shenyuan Honors College School of Automation Science and Electrical Engineering Beihang University Beijing China Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing Aerospace Automatic Control Institute Beijing China Unmanned Systems Research Institute Beihang University Beijing China

ISBN: (数字)9781728180250

ISBN: (纸本)9781728180267

In this paper, a novel robust back-stepping fault- tolerant control scheme is proposed, which enables hypersonic reentry vehicles with model uncertainties to accurately track the attitude commands under the condition of both unknown actuator faults and external disturbances. Firstly, a control-oriented hypersonic reentry vehicle model is established on the basis of regarding three factors mentioned above as lumped disturbance. Then, a fixed-time observer is used to achieve the fixed-time lumped disturbance estimation. Based on the disturbance observer and back-stepping technology, the proposed fault-tolerant control laws are designed to ensure control performance. Meanwhile, the “differential explosion” problem is solved by the sigmoid function-based tracking differentiator. Finally, the stability and effectiveness of the proposed controller are verified from theoretical analysis and extensive numerical simulations respectively.

关键词： Automation Field-flow fractionation Electrical engineering Attitude control Heart rate variability Fault tolerant systems Fault tolerance

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：