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

Human-in-the-Loop Consensus control for Nonlinear Multi-Agent Systems With Actuator Faults

引用

IEEE/CAA Journal of Automatica Sinica 2022年第1期9卷 111-122页

作者： Guohuai Lin Hongyi Li Hui Ma Deyin Yao Renquan Lu School of Automation and Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of TechnologyGuangzhou 510006China

This paper considers the human-in-the-loop leader-following consensus control problem of multi-agent systems(MASs)with unknown matched nonlinear functions and actuator *** is assumed that a human operator controls the MASs via sending the command signal to a non-autonomous leader which generates the desired ***,the leader’s input is nonzero and not available to all *** using neural networks and fault estimators to approximate unknown nonlinear dynamics and identify the actuator faults,respectively,the neighborhood observer-based neural fault-tolerant controller with dynamic coupling gains is *** is proved that the state of each follower can synchronize with the leader’s state under a directed graph and all signals in the closed-loop system are guaranteed to be cooperatively uniformly ultimately ***,simulation results are presented for verifying the effectiveness of the proposed control method.

关键词： Actuator faults distributed control human-in-the-loop neighborhood observer nonlinear multi-agent systems(MASs)

来源：评论

学校读者我要写书评

暂无评论

controllability of neighborhood Corona product networks

引用

Science China(Information Sciences) 2024年第12期67卷 327-328页

作者： Bo LIU Xuan LI Qiang ZHANG Junjie HUANG Housheng SU Ministry of Education Key Laboratory for Intelligent Analysis and Security Governance of Ethnic Languages School of Information Engineering Minzu University of China School of Mathematical Sciences Inner Mongolia University Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China School of Artificial Intelligence and Automation Huazhong University of Science and Technology

controlling networks aims to study the models, structures,and related dynamics of complex networks. The primary problem of controlling networks is to determine whether they are controllable. Nowadays, controllability has been widely studied and applied to system engineering and control theory, power systems, aerospace, and quantum systems. Various classical criteria include the Gram matrix criterion, Kalman rank criterion, and PBH test.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Neural-Based Predefined-Time Distributed Optimization of High-Order Nonlinear Multiagent Systems

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2024年第6期5卷 3174-3183页

作者： Zheng, Xiaohong Ma, Hui Yao, Deyin Li, Hongyi Guangdong University of Technology School of Automation and Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control Guangzhou510006 China Guangdong University of Technology School of Mathematics and Statistics Guangzhou510006 China

This article addresses a predefined-time distributed optimization problem for high-order nonlinear multiagent systems (MASs). First, by means of a distributed proportional integration (PI) protocol, a reference model is constructed to evaluate the global optimal solution for MASs. Then, the resulting measurement is fed into a prefilter to produce a reconstructed optimal reference signal and its high-order derivatives. Instead of designing the updated law with σ-modification to deal with unknown nonlinearities, a gradient descent algorithm is developed to train the weights of neural networks (NNs) to achieve higher function approximation accuracy. Moreover, in the framework of prefiltering, an NN-based predefined-time control strategy is built using the backstepping technique to guarantee that all agents' outputs can reach optimal consensus in predefined time. Finally, simulation examples validate the effectiveness of the presented approach. © 2020 IEEE.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

Event-Triggered Adaptive Neural control for Multiagent Systems with Deferred State Constraints

引用

Journal of Systems Science & Complexity 2022年第3期35卷 973-992页

作者： YANG Bin CAO Liang XIAO Wenbin YAO Deyin LU Renquan School of Automation and Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of TechnologyGuangzhou 510006China

This paper focuses on the leader-following consensus control problem for nonlinear multiagent systems subject to deferred asymmetric time-varying state constraints.A distributed eventtriggered adaptive neural control approach is *** virtue of a distributed sliding-mode estimator,the leader-following consensus control problem is converted into multiple simplified tracking control ***,a shifting function is utilized to transform the error variables such that the initial tracking condition can be totally unknown and the state constraints can be imposed at a specified time ***,the deferred asymmetric time-varying full state constraints are addressed by a class of asymmetric barrier Lyapunov *** order to reduce the burden of communication,a relative threshold event-triggered mechanism is incorporated into controller and Zeno behavior is *** on Lyapunov stability theorem,all closed-loop signals are proved to be semi-globally uniformly ultimately ***,a practical simulation example is given to verify the presented control scheme.

关键词： Adaptive neural control deferred time-varying state constraints event-triggered mechanism multiagent systems sliding-mode estimator

来源：评论

学校读者我要写书评

暂无评论

Long Duration Coverage control of Multiple Robotic Surface Vehicles Under Battery Energy Constraints

引用

IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1695-1698页

作者： Shengnan Gao Zhouhua Peng Haoliang Wang Lu Liu Dan Wang the School of Electrical and Control Engineering North China University of TechnologyBeijing 100144 the School of Marine Electrical Engineering Dalian Maritime UniversityDalian 116026China State Key Laboratory of Maritime Technology and Safety Dalian 116026 Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships Dalian 116026 the School of Marine Engineering Dalian Maritime UniversityDalian 116026

Dear Editor,This letter addresses long duration coverage problem of multiple robotic surface vehicles(RSVs) subject to battery energy constraints,in addition to uncertainties and disturbances. An anti-disturbance energy-aware control method is proposed for performing coverage task of RSVs. Firstly, a centroidal Voronoi tessellation(CVT) is used to optimize the partition of the given coverage area.

关键词： Robotic Battery partition

来源：评论

学校读者我要写书评

暂无评论

High glass transition temperature dopant-free hole transport material via D-A-π-A-D-strategy for perovskite solar cell

引用

Rare Metals 2024年第12期43卷 6373-6383页

作者： Cheng-Hui Liao Li-Gang Yuan Yi-Heng Zhang Wei-Ya Zhu Min-Chao Qin Zhi-Bo He Jie-Lin Huang Hao-Lin Xiao Zhi-Heng Li Xin-Hui Lu Ke-You Yan Yuan Li State Key Laboratory of Luminescent Materials and Devices Institute of Polymer Optoelectronic Materials and DevicesSchool of Materials Science and EngineeringSouth China University of TechnologyGuangzhou510640China School of Environment and Energy State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Solid Wastes Pollution Control and RecyclingSouth China University of TechnologyGuangzhou510000China Department of Physics The Chinese University of Hong KongHong Kong999077China

Despite the great leap forward perovskite solar cells(PSCs)have achieved in power conversion efficiency,the device instability remains one of the major problems plaguing its ***-free hole transport material(HTM)has been widely studied as an important strategy to improve the stability of PSCs due to its avoidance of moisture-sensitive dopants and cumbersome doping *** this work,a series of dopant-free HTMs L1F,L2F and L3F based on D-A-π-A-D configuration were synthesized through two steps of reaction.L3F presents a high glass transition temperature of 1800C and thermal decomposition temperature of ***,electron paramagnetic resonance signals of L1F,L2F and L3F powders indicate the open-shell quinoidal diradical resonance structure in their aggregation state due to aggregation-induced radical *** these HTMs present higher hole mobility than dopant-free Spiro-OMeTAD,and the dopant-free L3F-based PSC device achieves the highest power conversion efficiency of 17.6%among *** addition,due to the high hydrophobic properties of L1F,L2F and L3F,the perovskite films spin-coated with these HTMs exhibit higher humidity stability than doped *** results demonstrate a promising design strategy for high glass transition temperature dopant-free hole transport *** open-shell quinoid-radical organic semiconductors are not rational candidates for dopant-free HTMs for PSC devices.

关键词： Perovskite solar cells Dopant-free Hole transport materials D-A-π-A-D High glass transition temperature

来源：评论

学校读者我要写书评

暂无评论

EPM-Net: A better way for optical and infrared scene matching via edge point 12

EPM-Net: A better way for optical and infrared scene matchin...

引用

SPIE 12th International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR 2023

作者： Huang, Shixiang Chi, Longyun Fu, Wenxing Tian, Jinwen National Key Laboratory of Multispectral Information Intelligent Processing Technology Huazhong University of Science and Technology Wuhan China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (数字)9781510674943

ISBN: (纸本)9781510674936

As a crucial auxiliary technique in inertial navigation, scene matching has been widely applied in aircraft navigation and guidance. To enhance the adaptability and efficiency of scene matching algorithms in complex environments, existing approaches have gradually shifted towards heterogeneous scene matching, such as optical/ infrared scene matching based on deep learning features, with a focus on point features. However, due to the complex and diverse nonlinear distortions between optical and infrared images, the matching accuracy often fails to meet the practical requirements of navigation and positioning. In view of this problem, an EPM-Net algorithm based on edge features is proposed to improve matching performance by extracting more stable and discriminative edge point descriptors. Experimental results on infrared datasets demonstrate that this method achieves an average matching accuracy improvement of more than four times compared to traditional and existing deep learning methods. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Kolmogorov-Arnold Networks for Enhancing Gravitational Wave Glitch Classification Performance 24

Kolmogorov-Arnold Networks for Enhancing Gravitational Wave ...

引用

4th Asia-Pacific Artificial Intelligence and Big Data Forum, AIBDF 2024

作者： Cai, Yiting Ma, Cunliang Xiao, Wanhai Jiangxi Provincial Key Laboratory of Multidimensional Intelligent Perception and Control Jiangxi University of Science and Technology Jiangxi Ganzhou China

ISBN: (纸本)9798400710865

Detecting gravitational waves is essential for the success of the LIGO and Virgo experiments, requiring thorough comprehension of how these instruments are affected by environmental and instrumental noise. In particular, the data recorded by the LIGO/Virgo detectors frequently include transient noise events, referred to as"glitches". These glitches can interfere with real gravitational wave signals and, in some cases, their characteristics may resemble those of actual gravitational wave signals, leading to misidentification. Identifying and differentiating these glitches plays a vital role in improving the precision and dependability of gravitational wave observations. LIGO’s initial observation of gravitational waves marked a transformative achievement in expanding our comprehension of the universe. However, because of the detectors’ exceptional sensitivity, they also pick up many other noise sources that can interfere with the observation of gravitational waves. To address this challenge, numerous classification methods have been proposed;however, as model complexity increases, so does the risk of overfitting, requiring more computational resources and resulting in significantly longer training and inference times. The Kolmogorov-Arnold Network (KAN), with its unique high-dimensional mapping and powerful feature extraction capabilities, demonstrates greater robustness and accuracy than traditional methods, thus improving classification performance. In this paper, we explore multi-view classification of gravitational wave glitches using KAN networks, where the linear and convolutional layers of conventional neural networks are replaced with KAN-based structures, and residual connections are incorporated within the KAN modules. © 2024 Copyright held by the owner/author(s).

关键词： Gravitational effects

来源：评论

学校读者我要写书评

暂无评论

Edge Gradient Exploration Attack based on Graph Neural Networks 24

Edge Gradient Exploration Attack based on Graph Neural Netwo...

引用

4th Asia-Pacific Artificial Intelligence and Big Data Forum, AIBDF 2024

作者： Yang, Shuxin Ge, Ran Jiangxi Province Key Laboratory of Multidimensional Intelligent Perception and Control Jiangxi University of Science and Technology Jiangxi Ganzhou China

ISBN: (纸本)9798400710865

Graph Neural Networks (GNNs) have achieved remarkable success in various graph-structured tasks due to their powerful graph representation learning capabilities. By aggregating and transforming information from the neighboring nodes, GNNs explore the structure of the graph and the features of the nodes. However, recent theoretical and empirical analyses have revealed that GNNs are particularly vulnerable to adversarial attacks. Among these, gradient-based attacks have been widely studied for their inherent efficiency and effectiveness. Nevertheless, due to the discrete nature of graph data, gradient-based attacks often result in suboptimal outcomes. Furthermore, the portability of some previously proposed attack algorithms requires further improvement. To address these two issues, we propose a novel Multi-Network Exploratory Attack (MNEA) aimed at enhancing gradient-based graph perturbations and improving their transferability. MNEA consists of two phases: the generation phase and the reconstruction phase. In the generation phase, multiple networks are utilized to generate a variety of candidate edges, preventing the generated perturbed edges from being too targeted toward a single model, which could lead to decreased transferability. The reconstruction phase introduces multiple edges for recombination, with the objective of avoiding misleading information potentially provided by the maximum gradient. Experimental results that are conducted on three publicly available benchmark datasets demonstrate that MNEA significantly outperforms baseline methods in terms of performance. © 2024 Copyright held by the owner/author(s).

关键词： Generative adversarial networks

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：