作者：Chenggang SHAN^1，2;，Runze GAO²;，Zhen YANG¹;，Wei ZHANG¹;，Yuanqing XIA²; （¹School of Artificial Intelligence, Zaozhuang University；²School of Automation, Beijing Institute of Technology）

出处：Science China(Information Sciences) 2024

摘要：As an extension of networked control systems, cloud control systems(CCSs) have emerged as a new control paradigm to improve the service quality of eme ...

作者：YE Lingjuan^1,2;，YANG Liwen³;，XIA Yuanqing⁴;，ZHAN Yufeng⁴;，ZHAO Xinchao^1,2; （¹School of Science, Beijing University of Posts and Telecommunications；²Key Laboratory of Mathematics and Information Networks, Beijing University of Posts and Telecommunications, Ministry of Education；³School of Automation, Nanjing University of Information Science and Technology；⁴School of Automation, Beijing Institute of Technology）

出处：Journal of Systems Science & Complexity 2024

摘要：In cloud control systems, generating an efficient and economical workflow scheduling strategy for deadline-constrained workflow applications, especial ...

作者：Xiangyu Kong¹;Wentao Ning¹;Yuanqing Xia^1,2;Zhongqi Sun¹;Huahui Xie¹; （¹School of Automation, Beijing Institute of Technology, Beijing, China ²Yuanqing XiaZhongyuan University of Technology, China）

出处：IEEE Robotics and Automation Letters 2024

关键词：Planning;Real-time systems;Safety;Robots;Mobile robots;Trajectory;Regulators

摘要：This letter proposes an adaptive high-order control barrier function-based iterative linear quadratic regulator (AHOCBF-ILQR) algorithm for real time ...

作者：Yuqin Zhou¹;Liping Yan¹;CA1;Hui Li²;Yuanqing Xia¹; （¹National Key Laboratory of Autonomous Intelligent Unmanned Systems, School of Automation, Beijing Institute of Technology, Beijing 100081, PR China;²Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, PR China）

出处：Journal of the Franklin Institute 2024

关键词：Jump Markov systems;Labeled multi-Bernoulli filter;Multi-target tracking;Pairwise Markov chain

摘要：Most of existing multi-target tracking (MTT) algorithms, which are rooted in random finite set theory, generally rely on two hypotheses, i.e., the sin ...

作者：夏元清^1,2;，王晁¹;，高润泽¹;，詹玉峰¹;，孙中奇¹;，戴荔¹;，翟弟华¹; （¹北京理工大学自动化学院；²中原工学院）

出处：信息与控制 2024

关键词：云网边端协同云控制；云控制系统；云计算；动态云控制系统

摘要：针对网络化控制系统通信与计算资源不足、云控制系统难以完全保证复杂任务实时控制的问题，在云控制系统研究基础上，云网边端协同云控制利用云控制平台层、网络传输层、边缘控制层、终端设备层各自优势，实现互联互通、相互协作、优化运行，是复杂智能系统控制问题的理想解决方案。鉴于此，本文详细阐述了云网边端协同云控制 ...

作者：Khurram Hussain¹;1;Yuanqing Xia^1,2;CA2;Ghulam Abbas³;3;Ameer Onaizah¹;4 （¹School of Automation, Beijing Institute of Technology, Beijing 100081, China;²Zhongyuan University of Technology, Zhengzhou, Henan Province 450007, China;³Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University Medical School, Shenzhen 518060, China）

出处：Alexandria Engineering Journal 2024

关键词：Pancreatic tumor;Deep neural network;Computed tomography;Optimization algorithms

摘要：In the last few decades, poor prognosis of pancreatic tumor has been an issue of concern in spite of the recent advancements in the different imaging ...

发明人：张元，赵文果，成苒博，郝长龙，夏元清，詹玉峰，戴荔，吴楚格，孙中奇，翟弟华

申请日期：2024.03.19

摘要：本发明公开一种分层系统最优输入选择方法、装置、介质及产品，涉及自动控制技术领域，所述方法包括：初始化模型矩阵并定义成本函数；模型矩阵包括：稀疏状态转移矩阵和稀疏输入矩阵；创建约束参数；约束参数包括：等式约束参数、不等式约束参数和输入上限约束参数，等式约束参数包括：等式约束矩阵和等式约束向量，不等式约 ...

发明人：詹玉峰，齐天宇，刘蔚清，吴楚格，翟弟华，张元，夏元清

申请日期：2024.04.25

摘要：本发明公开一种边缘设备图像分类方法、设备、存储介质及产品，涉及图像分类技术领域。所述方法包括：采用随机梯度下降算法，根据训练数据集、真实文本编码器、图像编码器、虚假文本编码器、手工文本编码器、初始化的目标类别集合中各类别对应的可学习虚假提示向量和手工提示，对初始化的目标类别集合中各类别对应的可学习真 ...

发明人：高寒，王嘉乐，林扬辉，刘学林，毕育翰，夏元清

申请日期：2024.03.08

摘要：本发明公开的一种基于预测器的固定时间神经网络航天器姿态控制方法，属于航天器姿态控制领域。本发明实现方法为：构建由反作用轮控制的不确定航天器俯仰角运动系统模型。构建状态预测器，将状态预测误差信号引入神经网络使得神经网络估计器与控制器的耦合程度降低，提高估计器的在估计不确定性时的学习稳定性和估计精度。在 ...

作者：Xiangzhen Li;Yuanqing Xia;Hongcheng Yin;Xiaodan Xie

出处：ICBDT \'23: Proceedings of the 2023 6th International Conference on Big Data Technologies 2023

摘要：Due to the rapid advancement of the information process, the amount of product feature data has increased exponentially, and the amount of existing pr ...