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自动化研究所 [95]

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	Optimal Cooperative Secondary Control for Islanded DC Microgrids via a Fully Actuated Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 405-417 作者: Yi Yu; Guo-Ping Liu; Yi Huang; Peng Shi 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/01/23 DC microgrids distributed control high-order fully actuated system approach linear quadratic regulator microgrid modeling secondary control
	Contrastive Correlation Preserving Replay for Online Continual Learning 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 124-139 作者: Yu, Da; Zhang, Mingyi; Li, Mantian; Zha, Fusheng; Zhang, Junge 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/03/26 Task analysis Correlation Knowledge transfer Training Memory management Data models Mutual information Continual learning catastrophic forgetting class-incremental learning experience replay
	Event-Triggered Sliding-Mode Control for a Discrete-Time Muscle-Driven Musculoskeletal System 期刊论文 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 15 作者: Fan, Yerui; Wu, Yaxiong; Yuan, Jianbo; Gao, Jie; Qiao, Hong 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/03/27 Musculoskeletal system bio-inspired muscle model discrete-time system event-triggered control sliding mode controller
	RFMNet: Robust Deep Functional Maps for unsupervised non-rigid shape correspondence 期刊论文 GRAPHICAL MODELS, 2023, 卷号: 129, 页码: 11 作者: Hu, Ling; Li, Qinsong; Liu, Shengjun; Yan, Dong-Ming; Xu, Haojun 收藏 \| 浏览/下载：6/0 \| 提交时间：2023/11/17 Shape correspondence Functional maps Unsupervised learning Optimal transport
	Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems 期刊论文 IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 12 作者: Zhang, Yong; Mu, Chaoxu; Zhao, Dongbin 收藏 \| 浏览/下载：9/0 \| 提交时间：2023/11/16 Data models Real-time systems Heuristic algorithms Mathematical models Adaptation models Approximation algorithms Cost function Data generation model feedback relearning control delayed neural network reinforcement learning unmodeled nonlinear system
	Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems 期刊论文 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 11 作者: Li, Hongyang; Wei, Qinglai 收藏 \| 浏览/下载：6/0 \| 提交时间：2023/11/17 Index Terms- Output cluster synchronization control data-driven control adaptive dynamic programming policy iteration heterogeneous multi-agent systems optimal control
	Aging Mitigation for Battery Energy Storage System in Electric Vehicles 期刊论文 IEEE TRANSACTIONS ON SMART GRID, 2023, 卷号: 14, 期号: 3, 页码: 2152-2163 作者: Li, Shuangqi; Zhao, Pengfei; Gu, Chenghong; Li, Jianwei; Huo, Da 收藏 \| 浏览/下载：6/0 \| 提交时间：2023/11/17 Batteries Aging Energy management Vehicle-to-grid Costs Mathematical models US Department of Defense Battery energy storage system electric vehicle battery aging assessment battery aging mitigation energy management vehicle power distribution vehicle to~grid
	Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1593-1607 作者: Lili Fan; Shen Li; Ying Li; Bai Li; Dongpu Cao 收藏 \| 浏览/下载：9/0 \| 提交时间：2023/06/14 Automatic pavement crack detection data augmentation compensation deep learning residual feature augmentation shadow removal shadow-crack dataset
	Parallel Learning-Based Steering Control for Autonomous Driving 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 1, 页码: 379-389 作者: Tian, Fangyin; Li, Zhiheng; Wang, Fei-Yue; Li, Li 收藏 \| 浏览/下载：2/0 \| 提交时间：2023/11/16 Vehicle dynamics Trajectory Data models Training data Autonomous vehicles Training Predictive models Autonomous driving learning based control parallel learning steering control
	Hierarchical Interpretable Imitation Learning for End-to-End Autonomous Driving 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 1, 页码: 673-683 作者: Teng, Siyu; Chen, Long; Ai, Yunfeng; Zhou, Yuanye; Xuanyuan, Zhe 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/11/16 Semantics Data models Autonomous vehicles Cameras Reinforcement learning Predictive models Robustness Autonomous driving imitation learning motion planning end-to-End driving interpretability

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