检索结果-内蒙古大学图书馆

Enhanced Tube-Based Event-Triggered Stochastic Model Predictive control With Additive Uncertainties

IEEE/CAA Journal of Automatica Sinica 2025年第3期12卷 596-605页

作者： Chenxi Gu Xinli Wang Kang Li Xiaohong Yin Shaoyuan Li Lei Wang the School of Control Science and Engineering Shandong University IEEE the School of Electronic and Electrical Engineering University of Leeds the Qingdao University of Science and Technology the Department of Automation Shanghai Jiao Tong University the Key Laboratory of System Control and Information Processing Ministry of Education of China

This paper proposes an event-triggered stochastic model predictive control for discrete-time linear time-invariant(LTI) systems under additive stochastic disturbances. It first constructs a probabilistic invariant set and a probabilistic reachable set based on the priori knowledge of system *** with enhanced robust tubes, the chance constraints are then formulated into a deterministic form. To alleviate the online computational burden, a novel event-triggered stochastic model predictive control is developed, where the triggering condition is designed based on the past and future optimal trajectory tracking errors in order to achieve a good trade-off between system resource utilization and control performance. Two triggering parameters σ and γ are used to adjust the frequency of solving the optimization problem. The probabilistic feasibility and stability of the system under the event-triggered mechanism are also examined. Finally, numerical studies on the control of a heating, ventilation, and air conditioning(HVAC) system confirm the efficacy of the proposed control.

关键词： Event-triggered mechanism heating, ventilation, and air conditioning (HVAC) control probabilistic reachable set stochastic model predictive control

来源：评论

学校读者我要写书评

暂无评论

The Investigation of Data Voting Algorithm for Train Air-Braking system Based on Multi-Classification SVM and ANFIS

引用

Chinese Journal of Electronics 2024年第1期33卷 274-281页

作者： Juhan WANG Ying GAO Yuan CAO Tao TANG School of Electronics and Information Engineering Beijing Jiaotong University Graduate Department China Academy of Railway Science National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University

The pressure data of the train air braking system is of great significance to accurately evaluate its operation state. In order to overcome the influence of sensor fault on the pressure data of train air braking system, it is necessary to design a set of sensor fault-tolerant voting mechanism to ensure that in the case of a pressure sensor fault, the system can accurately identify and locate the position of the faulty sensor, and estimate the fault data according to other normal data. A fault-tolerant mechanism based on multi-classification support vector machine(SVM) and adaptive network-based fuzzy inference system(ANFIS) is introduced. Multi-classification SVM is used to identify and locate the system fault state, and ANFIS is used to estimate the real data of the fault sensor. After estimation, the system will compare the real data of the fault sensor with the ANFIS estimated data. If it is similar,the system will recognize that there is a false alarm and record it. Then the paper tests the whole mechanism based on the real data. The test shows that the system can identify the fault samples and reduce the occurrence of false alarms.

关键词： Multi-classification support vector machine Adaptive network-based fuzzy inference system Train air braking system Fault-tolerant voting Multi-sensors

来源：评论

学校读者我要写书评

暂无评论

controllability of heterogeneous networked sampled-data systems

引用

Science China(information Sciences) 2025年第3期68卷 302-318页

作者： Zixuan YANG Lin WANG Xiaofan WANG Guanrong CHEN Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China School of Mechatronic Engineering and Automation Shanghai University School of Electrical and Electronic Engineering Shanghai Institute of Technology Department of Electrical Engineering City University of Hong Kong

This study investigates the controllability of a general heterogeneous networked sampled-data system(HNSS) consisting of nonidentical node systems, where the inner coupling between any pair of nodes can be described by a unique *** signals on control and transmission channels are sampled and held by zero-order holders, and the control sampling period of each node can be different. Necessary and sufficient controllability conditions are developed for the general HNSS, using the Smith normal form and matrix equations, respectively. The HNSS in specific topology or dynamic settings is discussed subsequently with easier-to-verify conditions derived. These heterogeneous factors have been determined to independently or jointly affect the controllability of networked sampled-data systems. Notably, heterogeneous sampling periods have the potential to enhance the overall controllability, but not for systems with some special dynamics. When the node dynamics are heterogeneous,the overall system can be controllable even if it is topologically uncontrollable. In addition, in several typical heterogeneous sampled-data multi-agent systems, pathological sampling of single-node systems will necessarily cause overall uncontrollability.

关键词： network controllability sampled-data system heterogeneous system inner coupling multi-agent system

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Feasibility for Optimal Motor Design Using Deep Q-Network 27

Evaluation of Feasibility for Optimal Motor Design Using Dee...

引用

27th International Conference on Electrical Machines and systems, ICEMS 2024

作者： Ran, Ji-Hoon Choi, Eui-Jin Park, Jong-Hoon Hong, Sun-Ki Hoseo University Department of System and Control Engineering Asan Korea Republic of Hoseo University Department of Information Control Engineering Asan Korea Republic of

ISBN: (纸本)9784886864406

The use of the reinforcement learning algorithm DQN(Deep Q-Network) can increase the design variables and offers the advantage of enabling more versatile motor optimization design. This paper evaluates the potential and advantages of reinforcement learning-based motor optimization design, which is still in its early stages globally. To demonstrate the performance of the proposed method, the geometry and drive conditions for reducing torque ripple of a FWSM(Field-Wound Synchronous Motor) using DQN were optimized. The proposed method exhibited excellent optimization performance, and it is expected that a more versatile optimization model can be developed by increasing the number of analysis cases. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Deep reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Torque Ripple Effects According to Hysteresis Motor Closed-Slot Structures Geometry with Finite Element Analysis 27

Torque Ripple Effects According to Hysteresis Motor Closed-S...

引用

27th International Conference on Electrical Machines and systems, ICEMS 2024

作者： Park, Jong-Hoon Han, Ji-Hoon Song, Seung-Min Hong, Sun-Ki Hoseo University Department of Information Control Engineering Asan Korea Republic of Hoseo University Department of System and Control Engineering Asan Korea Republic of

ISBN: (纸本)9784886864406

FEA (Finite Element Analysis) of conventional hysteresis motors has been difficult due to the specificity of the rotor. Equivalent circuit-based analysis is common, and it is difficult to expect the torque ripple due to the slot structure. However, recent advances in FEM (Finite Element Method) technology have made it possible to consider the nonlinear characteristics of the rotor. By utilizing this, the torque ripple and torque depending on the stator bridge angle, which affects the torque ripple of the motor, were compared. This is expected to enable geometry optimization of hysteresis motors, which is difficult with conventional methods. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Hysteresis motors

来源：评论

学校读者我要写书评

暂无评论

A Study of Motor Fault Condition Classification Using an Unsupervised Learning-Based Ensemble Model 27

A Study of Motor Fault Condition Classification Using an Uns...

引用

27th International Conference on Electrical Machines and systems, ICEMS 2024

作者： Choi, Eui-Jin Song, Seung-Min Han, Ji-Hoon Hong, Sun-Ki Hoseo University Department of Information Control Engineering Asan Korea Republic of Hoseo University Department of System and Control Engineering Asan Korea Republic of

ISBN: (纸本)9784886864406

In motor fault diagnosis, auto-encoder based methods are effective in detecting abnormal patterns by utilizing only normal data. However, this approach has limitations in classifying various fault types, as it is primarily trained with normal data. To solve this problem, a voting technique using an ensemble model based on an auto-encoder is proposed in this study. The proposed method combines several auto-encoder models to synthesize the prediction results of each model, showing higher performance in fault type classification than traditional single model approaches. This method has the advantage of more clearly distinguishing the boundaries between failure types and maintaining stable performance even in various failure scenarios. The experimental results confirm that the proposed method can classify various types of faults with high accuracy, even though it was trained only on normal data. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Unsupervised learning

来源：评论

学校读者我要写书评

暂无评论

Comparison of Hysteresis Motor Output According to Applied Voltage 27

Comparison of Hysteresis Motor Output According to Applied V...

引用

27th International Conference on Electrical Machines and systems, ICEMS 2024

作者： Song, Seung-Min Han, Ji-Hoon Choi, Eui-Jin Park, Jong-Hoon Hong, Sun-Ki Hoseo University Department of Information Control Engineering Asan Korea Republic of Hoseo University Department of System and Control Engineering Asan Korea Republic of

ISBN: (纸本)9784886864406

In general, to improve the output performance of motors, multi-level inverter that can create a waveform close to a sinusoidal wave by applying a voltage with a waveform that has minimal harmonic components are proposed. However, existing studies have shown that the input-to-output efficiency of hysteresis motor is higher when applying a square wave with relatively more harmonic components than when applying a sinusoidal wave. This paper compared the efficiency of the existing experiments by obtaining the output when applying sinusoidal and square waves with the same RMS value through finite element analysis (FEA). In addition, the efficiency is compared when the number of levels of the multi-level inverter is adjusted to compare the efficiency according to the harmonic components, and finally, the highest efficiency is confirmed when the square wave is applied. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Hysteresis

来源：评论

学校读者我要写书评

暂无评论

HRPose: Real-Time High-Resolution 6D Pose Estimation Network Using Knowledge Distillation

引用

Chinese Journal of Electronics 2023年第1期32卷 189-198页

作者： GUAN Qi SHENG Zihao XUE Shibei Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management

Real-time six degrees-of-freedom(6D)object pose estimation is essential for many real-world applications, such as robotic grasping and augmented reality. To achieve an accurate object pose estimation from RGB images in real-time, we propose an effective and lightweight model, namely high-resolution 6D pose estimation network(HRPose). We adopt the efficient and small HRNetV2-W18 as a feature extractor to reduce computational burdens while generating accurate 6D poses. With only 33% of the model size and lower computational costs, our HRPose achieves comparable performance compared with state-of-the-art models. Moreover, by transferring knowledge from a large model to our proposed HRPose through output and feature-similarity distillations, the performance of our HRPose is improved in effectiveness and efficiency. Numerical experiments on the widely-used benchmark LINEMOD demonstrate the superiority of our proposed HRPose against state-of-the-art methods.

关键词： Knowledge engineering Computational modeling Pose estimation Grasping Benchmark testing Feature extraction Real-time systems

来源：评论

学校读者我要写书评

暂无评论

AIoT for Aircraft Final Assembly:An Intelligent and Collaborative Framework

引用

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

A Study on Electromagnetic Field Analysis Considering Geometry Variation Using Physics-Informed Neural Network 26

A Study on Electromagnetic Field Analysis Considering Geomet...

引用

26th International Conference on Electrical Machines and systems, ICEMS 2023

作者： Han, Ji-Hoon Choi, Eui-Jin Hong, Sun-Ki Hoseo University Department of Information Control Engineering Asan Korea Republic of Hoseo University Department of System and Control Engineering Asan Korea Republic of

ISBN: (纸本)9798350317589

The problem with finite element analysis is that each analysis is run separately, so any variation in geometry requires a new analysis. When performing finite element analysis for generating fault diagnosis data, the frequent geometry variations that occur to consider numerous fault levels lead to a long time. In this paper, to solve these problems, an analysis using a physics-informed neural network is proposed to solve the differential equation that was solved by a numerical method using a neural network. Transfer learning is used, which enables fast analysis based on the analysis experience before the geometry is varied. In addition, nonlinear magnetic material characteristics and electronic systems in the saturated region are analyzed to evaluate whether the physics-informed neural network can cope with some numerical analysis problem. © 2023 IEEE.

关键词： Finite element method

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：