检索结果-内蒙古大学图书馆

Lateral control of Vehicle Platoons Under External Disturbance and Parameter Uncertainty: An Adaptive DMPC Approach

IEEE Transactions on Vehicular Technology 2024年第5期74卷 7444-7457页

作者： Li, Panshuo Weng, Zhixiang Lin, Kunsong Zhao, Jing Guangdong University of Technology Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control Guangzhou510006 China Guangdong University of Technology Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control Guangzhou510006 China Guangdong University of Technology School of Automation Guangzhou510006 China Northeastern University School of Mechanical Engineering and Automation Shenyang110819 China

This paper proposes an estimator-based distributed model predictive control (DMPC) approach for vehicle platoons in the presence of external disturbance and uncertain cornering stiffness. A lateral dynamics model of vehicle platoons is established by utilizing a path-based vehicle-following strategy. An adaptive parameter estimator is then proposed to estimate the cornering stiffness. Based on it, a distributed disturbance-feedback min-max model predictive controller is developed to ensure the lateral disturbance string stability of vehicle platoons, enhance path-following performance and lateral stability of following vehicles, and simultaneously prevent the actuator saturation. Considering the high computational burden involved in solving min-max optimization, the linear matrix inequalities-based conditions are derived to facilitate the controller gain solving. The proposed method can effectively tackle the cornering stiffness within large uncertain intervals and guarantee the lateral string stability of platoons under external disturbances. Simulation results validate the effectiveness of the proposed DMPC approach in different scenarios. © 1967-2012 IEEE.

关键词： Linear matrix inequalities

来源：评论

学校读者我要写书评

暂无评论

GRU combined model based on multi-objective optimization for short-term residential load forecasting

引用

Journal of Intelligent and Fuzzy Systems 2024年第4期46卷 10423-10440页

作者： Yi, Lingzhi Peng, Xinlong Fan, Chaodong Wang, Yahui Li, Yunfan Liu, Jiangyong College of Automation and Electronic Engineering Xiangtan University Hunan Engineering Research Center of Multi-energy Cooperative Control Technology Hunan Xiangtan China School of Computer Science and Technology Hainan University Hainan China College of Electrical and Information Engineering Hunan University Changsha China

Reliable and accurate short-term forecasting of residential load plays an important role in DSM. However, the high uncertainty inherent in single-user loads makes them difficult to forecast accurately. Various traditional methods have been used to address the problem of residential load forecasting. A single load forecast model in the traditional method does not allow for comprehensive learning of data characteristics for residential loads, and utilizing RNNs faces the problem of long-term memory with vanishing or exploding gradients in backpropagation. Therefore, a gated GRU combined model based on multi-objective optimization is proposed to improve the short-term residential load forecasting accuracy in this paper. In order to demonstrate the effectiveness, GRUCC-MOP is first experimentally tested with the unimproved model to verify the model performance and forecasting effectiveness. Secondly the method is evaluated experimentally with other excellent forecasting methods: models such as DBN, LSTM, GRU, EMD-DBN and EMD-MODBN. By comparing simulation experiments, the proposed GRU combined model can get better results in terms of MAPE on January, April, July, and November load data, so this proposed method has better performance than other research methods in short-term residential load forecasting. © 2024 - IOS Press. All rights reserved.

关键词： Multiobjective optimization

来源：评论

学校读者我要写书评

暂无评论

Detecting physical laws from data of stochastic dynamical systems perturbed by non-Gaussianα-stable Lévy noise

引用

Chinese Physics B 2023年第5期32卷 337-342页

作者：陆凌弘志李扬刘先斌 State Key Laboratory of Mechanics and Control for Mechanical Structures College of Aerospace EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China School of Automation Nanjing University of Science and TechnologyNanjing 210094China

Massive data from observations,experiments and simulations of dynamical models in scientific and engineering fields make it desirable for data-driven methods to extract basic laws of these *** present a novel method to identify such high dimensional stochastic dynamical systems that are perturbed by a non-Gaussianα-stable Lévy *** explicitly,firstly a machine learning framework to solve the sparse regression problem is established to grasp the drift terms through one of nonlocal Kramers–Moyal *** the jump measure and intensity of the noise are disposed by the relationship with statistical characteristics of the *** examples are then given to demonstrate the *** approach proposes an effective way to understand the complex phenomena of systems under non-Gaussian fluctuations and illuminates some insights into the exploration for further typical dynamical indicators such as the maximum likelihood transition path or mean exit time of these stochastic systems.

关键词： data-driven modelling noise-induced transitions Lévy noise Kramers–Moyal formuas

来源：评论

学校读者我要写书评

暂无评论

Design of a Digital Phase Lead-and-Lag Voltage control based on Frequency Response Approach for Single-Phase Half-Bridge DC-AC Converters 15

Design of a Digital Phase Lead-and-Lag Voltage Control based...

引用

15th IEEE International Conference on Industry Applications, INDUSCON 2023

作者： Buzzi, Henrique Eissmann Busarello, Tiago Davi Curi Péres, Adriano Dept. of Control Automation and Computing Engineering Federal University of Santa Catarina Blumenau Brazil

ISBN: (纸本)9798350314182

Grid-forming inverters is getting special attention of industries and academia due to their important role in the realization of microgrids. A crucial feature of them is to have an accurate voltage control. This paper proposes a digital phase lead-and-lag voltage control based on frequency response approach for single-phase half-bridge DC-AC converters. Initially, the system is modeled through the small-signal technique. Then, the controller is designed based on the frequency response approach. The discretization through Tustin and Backward methods are presented and compared. Moreover, designing the controller in discrete-time domain by conventional methods using the fictitious w-domain is also presented. The system is tested in a controller Hardware-in-Loop setup, where the power topology runs in the HIL402 device and the digital voltage controller runs in the TMS320FF28335 digital signal controllers. Scenarios like initialization, nonlinear load and oscillation at the DC voltage are performed. Results show the efficacy of the methodology proposed in this paper. ©2023 IEEE.

关键词： discretization Half-Bridge converter hardware-in-loop voltage control

来源：评论

学校读者我要写书评

暂无评论

Fault diagnosis of rolling bearings with noise signal based on modified kernel principal component analysis and DC‐ResNet

引用

CAAI Transactions on Intelligence Technology 2023年第3期8卷 1014-1028页

作者： Yunji Zhao Menglin Zhou Xiaozhuo Xu Nannan Zhang School of Electrical Engineering and Automation Henan Polytechnic UniversityJiaozuoChina Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment Henan Polytechnic UniversityJiaozuoChina

In view of the influence of aliasing noise on the effectiveness and accuracy of bearing fault diagnosis,a bearing fault diagnosis algorithm based on the spatial decoupling method of modified kernel principal component analysis(MKPCA)and the residual network with deformable convolution(DC‐ResNet)is innovatively ***,the Gaussian noise with different signal‐to‐noise ratios(SNRs)is added to the data to simulate the different degrees of noise in the actual data acquisition *** MKPCA is used to project the fault signal with different SNRs in the kernel space to reduce the data dimension and eliminate some noise ***,the DC‐ResNet model is used to further filter the noise effects and fully extract the fault features through the training of the preprocessed *** proposed algorithm is tested on the Case Western Reserve University(CWRU)and Xi'an Jiaotong University and Changxing Sumyoung Technology Co.,Ltd.(XJTU‐SY)bearing data sets with different SNR *** fault diagnosis accuracy can reach 100%within 30 min,which has better performance than most of the existing *** experimental results show that the algorithm has an excellent effect on accuracy and computation complexity under different noise levels.

关键词： artificial intelligence classification deep learning fault feature extraction

来源：评论

学校读者我要写书评

暂无评论

Digital Twin-Driven Degradation Modeling Method for control Moment Gyroscope Health Management 9

Digital Twin-Driven Degradation Modeling Method for Control ...

引用

9th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2023

作者： Cui, Runhao Huang, Xucong Zhang, Peng Tang, Diyin Beihang University School of Automation Science and Electrical Engineering Beijing China Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9798350333794

Prognosis and health management (PHM) of control moment gyroscope (CMG) plays a crucial role in ensuring the operational efficiency and safety of spacecraft. In order to improve the accuracy of PHM and supplement abundant monitoring data, this paper proposes a digital twin-driven degradation modeling method, which establishes a detailed simulation model based on degradation mechanisms at the CMG component level. The digital twin model not only provides a large amount of high-quality data for performance evaluation, but also serves as an important reference for on-orbit CMG state assessment. Finally, a case of estimating virtual sensor degradation information based on reinforcement learning is used to demonstrate the effectiveness of the proposed digital twin method. © 2023 IEEE.

关键词： Gyroscopes

来源：评论

学校读者我要写书评

暂无评论

Research on LSTM-based winding state prediction method 7

Research on LSTM-based winding state prediction method

引用

2024 7th International Conference on Power Electronics and control engineering, ICPECE 2024

作者： Wang, Yiyang Guo, Haifeng Li, Jianan Liu, Xinen Li, Xiang Du, Zhongbo Shen, Yang School of Electrical and Automation Engineering Liaoning Institute of Science and Technology Benxi117004 China Liaoning Province Robot Drive Control Engineering Laboratory Benxi117004 China

Mechanical and electrical equipment is widely used in various links of the manufacturing industry and is also the key to the implementation of modern industrial technology. Winding is the core component of transformers, electromagnetic valves, motors, robots, and other mechanical and electrical equipment. The safe and reliable operation of winding is the premise for the healthy operation of industrial equipment. Therefore, taking the core component of many industrial equipment, the winding, as the research object, and aiming to improve the safety and reliability of the equipment, this study focuses on the state prediction method of winding with the help of sensitive feature information. With the rapid development of industrial big data technology, data-driven technology, especially time series prediction technology, has developed rapidly. Considering the characteristics of winding degradation data, a winding state prediction method based on the Long Short-Term Memory (LSTM) approach is proposed. By using experimental data of winding, a health index reflecting their health status is constructed, and the LSTM is utilized for training the health index, thereby achieving time series-based state prediction of winding. This provides reliable support for the health status assessment of industrial mechanical and electrical equipment and enhances the reliability of the equipment. © Published under licence by IOP Publishing Ltd.

关键词： Machine windings

来源：评论

学校读者我要写书评

暂无评论

Robust control for Interval Type-2 T-S Fuzzy Discrete Systems with Input Delays and Cyber Attacks

引用

Journal of Systems Science & Complexity 2023年第4期36卷 1443-1462页

作者： LIU Chuang WU Jinxia YANG Weidong School of Automation University of Science and Technology BeijingBeijing 100083China College of Control Science and Engineering BoHai UniversityJinzhou 121001China College of Science Liaoning University of TechnologyJinzhou 121001China

This paper focuses on the robust control issue for interval type-2 Takagi-Sugeno(IT2 T-S)fuzzy discrete systems with input delays and cyber *** lower and upper membership functions are first utilized to IT2 fuzzy discrete systems to capture parameter *** considering the influences of input delays and stochastic cyber attacks,a newly fuzzy robust controller is ***,the asymptotic stability sufficient conditions in form of LMIs for the IT2 closed-loop systems are given via establishing a Lyapunov-Krasovskii ***,a solving algorithm for obtaining the controller gains is ***,the effectiveness of the developed IT2 fuzzy method is verified by a numerical example.

关键词： Asymptotic stability fuzzy robust control input delays IT2 T-S fuzzy discrete systems stochastic cyber attacks

来源：评论

学校读者我要写书评

暂无评论

An Overview of Finite/Fixed-Time control and Its Application in engineering Systems

引用

IEEE/CAA Journal of Automatica Sinica 2022年第12期9卷 2106-2120页

作者： Yang Liu Hongyi Li Zongyu Zuo Xiaodi Li Renquan Lu IEEE College of Automation and Electronics Engineering Qingdao University of Science and TechnologyQingdao 266061 School of Automation Guangdong University of TechnologyGuangzhou 510006China School of Automation Guangdong University of Technologyand also with the Guangdong Province Key Laboratory of Intelligent Decision and Cooperative ControlGuangzhou 510006China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100083China School of Mathematics and Statistics Shandong Normal UniversityBeijing 100083China Center for Control and Engineering Computation Shandong Normal UniversityJinan 250014China

The finite/fixed-time stabilization and tracking control is currently a hot field in various systems since the faster convergence can be obtained. By contrast to the asymptotic stability,the finite-time stability possesses the better control performance and disturbance rejection property. Different from the finite-time stability, the fixed-time stability has a faster convergence speed and the upper bound of the settling time can be estimated. Moreover, the convergent time does not rely on the initial *** work aims at presenting an overview of the finite/fixed-time stabilization and tracking control and its applications in engineering systems. Firstly, several fundamental definitions on the finite/fixed-time stability are recalled. Then, the research results on the finite/fixed-time stabilization and tracking control are reviewed in detail and categorized via diverse input signal structures and engineering applications. Finally, some challenging problems needed to be solved are presented.

关键词： Adding a power integrator finite/fixed-time control and application homogeneous theory sliding mode control

来源：评论

学校读者我要写书评

暂无评论

Axial Assembled Correspondence Network for Few-Shot Semantic Segmentation

引用

IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 711-721页

作者： Yu Liu Bin Jiang Jiaming Xu School of Automation Science and Engineering South China University of TechnologyGuangzhou 510640 R&D Center of Precision Electronic Manufacturing Technology Guangzhou Institute of Modern Industrial Technologyand also with the High Performance Motor and Intelligent Control Engineering Technology Research Center of Guangdong ProvinceGuangzhou 511458China School of Automation Science and Engineering South China University of TechnologyGuangzhou 510640China IEEE

Few-shot semantic segmentation aims at training a model that can segment novel classes in a query image with only a few densely annotated support *** remains a challenge because of large intra-class variations between the support and query *** approaches utilize 4D convolutions to mine semantic correspondence between the support and query ***,they still suffer from heavy computation,sparse correspondence,and large *** propose axial assembled correspondence network(AACNet)to alleviate these *** key point of AACNet is the proposed axial assembled 4D kernel,which constructs the basic block for semantic correspondence encoder(SCE).Furthermore,we propose the deblurring equations to provide more robust correspondence for the aforementioned SCE and design a novel fusion module to mix correspondences in a learnable *** on PASCAL-5~i reveal that our AACNet achieves a mean intersection-over-union score of 65.9%for 1-shot segmentation and 70.6%for 5-shot segmentation,surpassing the state-of-the-art method by 5.8%and 5.0%respectively.

关键词： Artificial intelligence computer vision deep convolutional neural network few-shot semantic segmentation

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：