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检索条件"机构=Image Processing and Intelligent Control"
1391 条 记 录,以下是131-140 订阅
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Safety Protection Analysis with Formal Verification for Process control System Under Cyberattacks
Safety Protection Analysis with Formal Verification for Proc...
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第35届中国过程控制会议
作者: Xuqing Liang Chunjie Zhou Yu-Chu Tian Xin Du Peihang Xu School of Artificial Intelligence and Automation Huazhong University of Science and Technology The Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Computer Science Queensland University of Technology
The safety protection of process control systems plays a crucial role in the overall safety of critical *** have increased the complexity of existing safety protection analysis. Traditional safety analysis methods fal... 详细信息
来源: 评论
Gait Planning and Motion control Based on Vrep Simulation for Quadruped Robot  5
Gait Planning and Motion Control Based on Vrep Simulation fo...
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5th World Robot Conference Symposium on Advanced Robotics and Automation, WRC SARA 2023
作者: Zhou, Linqi Chen, Zhihua Liu, Jun Liu, Zhi Chen, Yumeng Zhang, Liting Nanchang Hangkong University Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Moe Key Lab of Nondestructive Testing Technology Nanchang330063 China Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing100081 China
Gait planning of quadruped robots plays an important role in achieving less walking, including dynamic and static gait. In this article, a static and dynamic gait control method based on center of gravity stability ma... 详细信息
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Single-Loop Deadbeat Predictive control Framework for Uncertain SPMSM Drives With Disturbance Observation
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IEEE Transactions on Transportation Electrification 2025年
作者: Jiang, Fuxi Wang, Siqi Guo, Yuhao Cheng, Zhe Ye, Jie Cheng, Shanmei Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Wuhan430074 China Huazhong University of Science and Technology School of Optical and Electronic Information Wuhan430074 China
To mitigate the detrimental effects of parameter perturbations and external load torque on the accuracy of speed and current tracking control in surface-mounted permanent magnet synchronous motor (SPMSM) drive systems... 详细信息
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Revisiting Euclidean Alignment for Transfer Learning in EEG-Based Brain-Computer Interfaces
arXiv
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arXiv 2025年
作者: Wu, Dongrui Ministry of Education Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan430074 China Hubei Key Laboratory of Brain-inspired Intelligent Systems Huazhong University of Science and Technology Wuhan430074 China
Due to the non-stationarity and large individual differences of EEG signals, EEG-based brain-computer interfaces (BCIs) usually need subject-specific calibration to tailor the decoding algorithm for each new subject, ... 详细信息
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When Epipolar Constraint Meets Non-local Operators in Multi-View Stereo
When Epipolar Constraint Meets Non-local Operators in Multi-...
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International Conference on Computer Vision (ICCV)
作者: Tianqi Liu Xinyi Ye Weiyue Zhao Zhiyu Pan Min Shi Zhiguo Cao Ministry of Education School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China
Learning-based multi-view stereo (MVS) method heavily relies on feature matching, which requires distinctive and descriptive representations. An effective solution is to apply non-local feature aggregation, e.g., Tran...
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MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition
arXiv
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arXiv 2023年
作者: Wang, Xiang Zhang, Shiwei Qing, Zhiwu Gao, Changxin Zhang, Yingya Zhao, Deli Sang, Nong Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology China Alibaba Group China
Current state-of-the-art approaches for few-shot action recognition achieve promising performance by conducting frame-level matching on learned visual features. However, they generally suffer from two limitations: i) ... 详细信息
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Neural-Network-Based Nonlinear Model Predictive Tracking control of a Pneumatic Muscle Actuator-Driven Exoskeleton
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IEEE/CAA Journal of Automatica Sinica 2020年 第6期7卷 1478-1488页
作者: Yu Cao Jian Huang IEEE Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China
Pneumatic muscle actuators(PMAs)are compliant and suitable for robotic devices that have been shown to be effective in assisting patients with neurologic injuries,such as strokes,spinal cord injuries,etc.,to accomplis... 详细信息
来源: 评论
Demand-Side Frequency control in Power Network Based on Multi-Agent Deep Reinforcement Learning
Demand-Side Frequency Control in Power Network Based on Mult...
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International Conference on Industrial Artificial Intelligence (IAI)
作者: Xianggang Liu Zhi-Wei Liu Ming Chi Yifan Zhang Key Laboratory of Image Processing and Intelligent Control Ministry of Education College of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
The integration of renewable energy sources into the power grid has led to new challenges in maintaining the stability of the system frequency. This paper proposes a novel approach to address the Optimal Demand Side F...
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Semi-Supervised Generalized Source-Free Domain Adaptation (SSG-SFDA)
Semi-Supervised Generalized Source-Free Domain Adaptation (S...
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International Joint Conference on Neural Networks (IJCNN)
作者: Jiayu An Changming Zhao Dongrui Wu Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
Continual learning aims to learn on a sequence of new tasks while maintaining the performance on previous tasks. Source-free domain adaptation (SFDA), which adapts a pretrained source model to a target domain, is usef...
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DisGNet: A Distance Graph Neural Network for Forward Kinematics Learning of Gough-Stewart Platform
arXiv
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arXiv 2024年
作者: Zhu, Huizhi Xu, Wenxia Huang, Jian The Hubei Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan430205 China Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China
In this paper, we propose a graph neural network, DisGNet, for learning the graph distance matrix to address the forward kinematics problem of the Gough-Stewart platform. DisGNet employs the k-FWL algorithm for messag... 详细信息
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