检索结果-内蒙古大学图书馆

Adaptive Event-Triggered Fast Finite-Time Stabilization of High-Order Uncertain Nonlinear systems and its Application in Maglev systems

引用

IEEE Transactions on Cybernetics 2024年第3期54卷 1537-1546页

作者： Sun, Zong-Yao Zhou, Chao Wen, Changyun Chen, Chih-Chiang Institute of Automation Qufu Normal University Qufu273165 China Nanjing University of Aeronautics and Astronautics College of Automation Engineering Nanjing211106 China Nanyang Technological University School of Electrical and Electronic Engineering Jurong West639798 Singapore National Cheng Kung University Department of Systems and Naval Mechatronic Engineering Tainan70101 Taiwan

This article is concerned with the global fast finite-time adaptive stabilization for a class of high-order uncertain nonlinear systems in the presence of serious nonlinearities and constraint communications. By renovating the technique of continuous feedback domination to the construction of a serial of integral functions with nested sign functions, this article first proposes a new event-triggered strategy consisting of a sharp triggered rule and a time-varying threshold. The strategy guarantees the existence of the solutions of the closed-loop systems and the fast finite-time convergence of original system states while reaching a compromise between the magnitude of the control and the trigger interval. Quite different from traditional methods, a simple logic is presented to avoid searching all the possible lower bounds of trigger intervals. An example of the maglev system and a numerical example are provided to demonstrate the effectiveness and superiority of the proposed strategy. © 2013 IEEE.

关键词： Closed loop systems

来源：评论

学校读者我要写书评

暂无评论

Examination of Gear Change Transients of a Twin Synchronous Motor Drive Fitted to a Gear Unit with a Common Output Shaft 7

Examination of Gear Change Transients of a Twin Synchronous ...

引用

7th IEEE International Conference and Workshop Obuda on Electrical and Power engineering, CANDO-EPE 2024

作者： Bendiak, István Sándor, Tamás Obuda University Institute of Automation and Energy Systems Kandó Kádmán Faculty of Electrical Engineering Department of Automation Budapest Hungary

ISBN: (纸本)9798331531119

The target area of the research is the measurement of the gear change transient of a synchronous motor drive mounted on a common output shaft. The two synchronous motors are a type of motor developed for permanent magnet vehicle propulsion. During the measurements of the drive chain, we encountered the task of what transient phenomena take place between the engine and the output shaft during the shifting process. The objective of the research is based on how the robotic torque converter behaves during shifting and whether it causes an operational abnormality that adversely affects the operation of the drive chain. The measurement was carried out on a drive chain in which two synchronous machines drive into a common gearbox, and then provide the drive torque to the differential through an output shaft. © 2024 IEEE.

关键词： Chains

来源：评论

学校读者我要写书评

暂无评论

Robust Stability and Stabilizability Conditions for Time-Delay systems Under Stochastic Uncertainties

引用

IEEE Transactions on Automatic control 2024年第6期70卷 4037-4044页

作者： Chen, Jianqi Mao, Qi Zhao, Di Chen, Chao Nanjing University Center for Advanced Control and Smart Operations Suzhou China Nanjing Normal University School of Electrical and Automation Engineering Nanjing China Tongji University Department of Control Science and Engineering Shanghai Institute of Intelligent Science and Technology Shanghai China Leuven3001 Belgium

This study first explores the mean-square robust stability problem of stable continuous-time linear time-invariant systems subject to stochastic multiplicative uncertainties with prescribed variance bounds. The internal structures of uncertainties, however, are not presumed to cope with diverse random noises and errors arising from networked channels. A necessary and sufficient mean-square stability condition is obtained involving a novel small-gain type characterization. Next, we consider the output feedback controller synthesis problem of networked control systems facing stochastic multiplicative uncertainties and intrinsic channel-wise time delays simultaneously. Based on the obtained mean-square stability condition, further, we develop a fundamental necessary and sufficient condition of mean-square stabilizability explicitly. Such a condition equivalently determines that an open-loop unstable system can be stabilized by output feedback in the mean-square sense. Finally, an analysis of delay robustness is elaborated, in which the mean-square stabilizability condition is extended to the case tolerating uncertain but upper-bounded time delays. Overall, this study provides a comprehensive analysis of the robust mean-square stability and mean-square stabilizability of time-delay systems under stochastic uncertainties, which can have practical implications for networked control systems. © 1963-2012 IEEE.

关键词： Continuous time systems

来源：评论

学校读者我要写书评

暂无评论

Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

引用

Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun Xu Delong Jiang Jiayang Hou Ying Liang Zhongyue Zou Xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an 710049ShaanxiChina Shaanxi Key Laboratory of Intelligent Robots School of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049ShaanxiChina Department of Electrical Engineering and Automation Luoyang Institute of Science and TechnologyLuoyang 471023HenanChina School of Mechanical Engineering Hangzhou Dianzi UniversityHangzhou 310018ZhejiangChina

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity

来源：评论

学校读者我要写书评

暂无评论

Analysis of the Stability of the Shaft Coupling of Three-Phase Asynchronous Motors from a Diagnostic Approach 7

Analysis of the Stability of the Shaft Coupling of Three-Pha...

引用

7th IEEE International Conference and Workshop Obuda on Electrical and Power engineering, CANDO-EPE 2024

作者： Bendiák, István Semperger, Sándor Óbuda University Institute of Automation and Energy Systems Kandó Kálmán Faculty of Electrical Engineering Department of Automation Budapest Hungary

ISBN: (纸本)9798331531119

The aim of the paper is to examine the steady-state operation of asynchronous motors using the electrical signal analysis method. The operating conditions of rotary machines have been significantly transformed by the development of and artificial intelligence. The global analysis of measurement and processing shows a changing trend that has significantly transformed the issues of educational, research, and industrial application of electrical machine measurement. The coursework focuses on the research results of recent years by examining the extensive scientific work in the field. © 2024 IEEE.

关键词： Fourier analysis

来源：评论

学校读者我要写书评

暂无评论

Aerial refueling scheduling of multi-receiver and multi-tanker under spatial-temporal constraints for forest firefighting

引用

Chinese Journal of Aeronautics 2024年第5期37卷 71-91,I0001页

作者： Jing HUANG Jiaqi XING Jinrui REN Quan QUAN Youmin ZHANG Department of Information and Control Engineering Xi’an University of TechnologyXi’an 710048China Jiujiang Measuring Test Technology Research Institute Jiujiang 332000China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China School of Automation Xi’an University of Posts&TelecommunicationsShaanxiXi’an 710121China Department of Mechanical Industrial and Aerospace EngineeringConcordia UniversityMontreal H3G 1M8Canada

Forest fires pose a significant threat to human life and property,so the utilization of unmanned aircraft systems provides new ways for forest *** the constrained load capacities of these aircraft,aerial refueling becomes crucial to extend their operational time and *** order to address the complexities of firefighting missions involving multi-receiver and multi-tanker deployed from various airports,first,a fuel consumption calculation model for aerial refueling scheduling is established based on the receiver ***,two distinct methods,including an integrated one and a decomposed one,are designed to address the challenges of establishing refueling airspace and allocating tasks for *** methods aim to optimize total fuel consumption of the receivers and tankers within the aerial refueling scheduling *** optimization problem is established as nonlinear optimization models along with *** integrated method seamlessly combines refueling rendezvous point scheduling and tanker task allocation into unified *** has a complete solution space and excels in optimizing total fuel *** decomposed method,through the separation of rendezvous point scheduling and task allocation,achieves a reduced computational ***,this comes at the cost of sacrificing optimality by excluding specific feasible ***,numerical simulations are carried out to verify the feasibility and effectiveness of the proposed *** simulations yield insights crucial for the practical engineering application of both the integrated and decomposed methods in real-world *** comprehensive approach aims to enhance the efficiency of forest firefighting operations,mitigating the risks posed by forest fires to human life and property.

关键词： Aerial refueling Scheduling Planning Spatial-temporal constraint Firefighting

来源：评论

学校读者我要写书评

暂无评论

Plant Disease Detection Using Machine Learning 4

Plant Disease Detection Using Machine Learning

引用

4th International Conference on Intelligent Technologies, CONIT 2024

作者： Parida, Amit Kumar Stonier, Albert Alexander Vit University School of Electrical Engineering Department of Control and Automation Vellore India Vellore Institute of Technology School of Electrical Engineering Vellore India

ISBN: (纸本)9798350349900

Plant diseases are a serious threat toworld agriculture, resulting in lower agricultural yields and financial losses. This study examines how machine learning methods could revolutionize the identification of plant diseases. The shortcomings of conventional approaches and suggest combining machine learning models with cutting-edge imaging and data processing technologies to improve the diagnosis's speed and precision. This research demonstrates how well machine learning methods, such as CNN and SVM, can distinguish between healthy and unhealthy plants. Also gone through how transfer learning can be used, especially when data is scarce, to modify previously trained models for illness detection. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Analysis of Mechanical Faults of Asynchronous Motors Based on the Abrasion Map 11

Analysis of Mechanical Faults of Asynchronous Motors Based o...

引用

11th IEEE International Conference on Computational Cybernetics and Cyber-Medical systems, ICCC 2024

作者： Bendiak, Istvan Semperger, Sandor Óbuda University Kandó Kálmán Faculty of Electrical Engineering Institute of Automation and Energy Systems Department of Automation Budapest Hungary

ISBN: (纸本)9798350350142

The target area of the research is the assessment of the mechanical excitation frequencies of three-phase asynchronous motors, primarily caused by bearing and shaft adjustment, and the understanding of the wear process. Measurements and calculations are basically based on a wear map, not only using spectrum analysis methods. Spectrum analyzes do not solve the steps for developing fault detection methods in all cases. The processing of measurement results was preceded by several measurement cycles, the results of which were used to create the wear map. © 2024 IEEE.

关键词： Induction motors

来源：评论

学校读者我要写书评

暂无评论

Adaptive dynamic surface control for quadrotor-slung load transportation system with uncertainties

引用

Science China(Technological Sciences) 2023年第10期66卷 2917-2929页

作者： DING Feng HUANG Jian SUN Chong AI Yong XU WenXia YANG ChenGuang School of Computer Science South-Central Minzu UniversityWuhan 430074China Key Laboratory of Ministryof EducationforImage Processing and Intelligent ControlHubei Key Laboratoryof Brain-inspired Intelligent Systems School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China School of Computer Science and Engineering Wuhan Institute of TechnologyWuhan 430205China Key Laboratory of Ministry of Education for Autonomous Systems and Networked Control Guangdong Engineering Technology Research Center of Control of Intelligent SystemsCollege of Automation Science and EngineeringSouth China University of TechnologyGuangzhou 510640China

Quadrotors play a significant role in our lives and are transforming our *** cable-suspended loads is an unavoidable quadrotor application trend and a hot research topic in the control ***,the load swing and unpredictability pose significant challenges to the quadrotor's *** this paper,an anti-swing controller with an inner-outer control strategy for the quadrotor-slung load transportation system is *** facilitate the controller design,the outer position dynamics are restructured in the form of ***,a virtual controller is created to force the underactuated states to the dynamic surface to ensure the position subsystem's *** improve robustness,an adaptive law is used to eliminate the effects of uncertain cable ***,a dynamic surface controller for the inner attitude subsystem is presented to drive the actual force to the virtual *** is demonstrated that the control strategy can stabilize the quadrotor despite mass and cable length *** results are provided to demonstrate the efficacy and durability of the proposed method.

关键词： quadrotor-slung load transportation system dynamic surface control adaptive law cascade system model uncertainties

来源：评论

学校读者我要写书评

暂无评论

Pareto Improvement for Noncooperative systems With Vector-valued Payoff Functions 63

Pareto Improvement for Noncooperative Systems With Vector-va...

引用

63rd IEEE Conference on Decision and control, CDC 2024

作者： Guo, Zehui Hayakawa, Tomohisa Tokyo Institute of Technology Department of Systems and Control Engineering Meguro Tokyo152-8552 Japan

ISBN: (纸本)9798350316339

Definition of weak Pareto improvement is given for noncooperative systems with vector-valued payoff functions. The region where a system trajectory is Pareto improving is characerized. Some necessary and sufficient conditions are given for when the system trajectory is (weak) Pareto improving in the entire state space. We provide several numerical examples to illustrate our results. © 2024 IEEE.

关键词： State space methods

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：