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检索条件"机构=Key Laboratory of Measurement and Control for Complex Systems of Engineering"
2715 条 记 录,以下是281-290 订阅
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Adaptive tracking a linear system with unknown periodic signal in multi-agent systems
Adaptive tracking a linear system with unknown periodic sign...
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Chinese Intelligent systems Conference, CISC 2017
作者: Li, Feifei Zhang, Ya School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China
This paper studies the tracking control problem of multi-agent systems where each agent has homogeneous sensor and heterogeneous dynamic system, the moving target has unknown periodic input signal and the unknown peri... 详细信息
来源: 评论
Data-Driven Distributed Robust Consensus Kalman Filtering for Sensor Networks
Data-Driven Distributed Robust Consensus Kalman Filtering fo...
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2021 China Automation Congress, CAC 2021
作者: Zhou, Ziai Wu, Hao Zhang, Ya School of Automation Southeast University Nanjing China 210096 Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China 210096
This paper mainly studies the distributed robust filtering problem for wireless sensor networks without knowing the variance of the driving noise and measuring noise. A distributed filtering algorithm based on leader-... 详细信息
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An automatic landmark localization method for 2D and 3D face  8th
An automatic landmark localization method for 2D and 3D face
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8th International Conference on Image and Graphics, ICIG 2015
作者: Liu, Junquan Da, Feipeng Deng, Xing Yu, Yi Zhang, Pu School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China
We propose an automatically and accurately facial landmark localization algorithm based on Active Shape Model (ASM) and Gabor Wavelets Transformation (GWT), which can be applied to both 2D and 3D facial data. First, A... 详细信息
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Nonlinear time-varying systems identification based on multi-dimensional taylor network and variable forgetting factor recursive least squares algorithm
Nonlinear time-varying systems identification based on multi...
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1st IFAC Conference on Modelling, Identification and control of Nonlinear systems, MICNON 2015
作者: Zhang, Jiao-Jun Yan, Hong-Sen School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China
A novel method for nonlinear time-varying systems identification based on multi-dimensional Taylor network and variable forgetting factor recursive least squares algorithm is proposed. In this paper, the connection we... 详细信息
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Non-Smooth Speed control of Switched Reluctance Motor Based on Generalized Proportional Integral Observer  42
Non-Smooth Speed Control of Switched Reluctance Motor Based ...
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42nd Chinese control Conference, CCC 2023
作者: Yin, Qingzhao Tian, Zheng Li, Shihua School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China
This paper investigates the speed regulation control of switched reluctance motor (SRM) systems. To improve the antidisturbance performance of SRM, a composite non-smooth control strategy is proposed. First, the struc... 详细信息
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YOLO-MSP: Effective Cigarette Detection YOLO Network for Surveillance Scenario  10
YOLO-MSP: Effective Cigarette Detection YOLO Network for Sur...
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10th International Conference on systems and Informatics, ICSAI 2024
作者: Zhang, Zhiwei Lu, Xiaobo School of Automation Southeast University Nanjing210096 China Ministry of Education Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing210096 China
This paper presents an new approach to enhance the detection of smoking behavior using object detection neural networks, focusing on the challenge of small object detection, namely cigarettes in video frames. We intro... 详细信息
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PMSM System Identification by Knowledge-informed Machine Learning  22
PMSM System Identification by Knowledge-informed Machine Lea...
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22nd IEEE International Conference on Industrial Informatics, INDIN 2024
作者: Yu, Yue Tong, Jiageng Xia, Jinhui Su, Jinya Li, Shihua School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China
Because of its excellent efficiency, compact dimensions, and accurate control features, Permanent Magnet Synchronous Motor (PMSM) are experiencing widespread applications across various industries. By accurately chara... 详细信息
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Motion control and Motion Coordination of Bionic Robotic Fish: A Review
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Journal of Bionic engineering 2018年 第4期15卷 579-598页
作者: Junzhi Yu Ming Wang Huifang Dong Yanlu Zhang Zhengxing Wu State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Information and Electrical Engineering Shandong Jianzhu University Jinan 250101 China
Fish's outstanding motion and coordination performance make it an excellent source of inspiration for scientists and engineers aiming to design and control next-generation autonomous underwater vehicles within the fr... 详细信息
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Position Tracking control for PMSM System Based on Continuous Sliding Mode control and Sliding Mode Observer  41
Position Tracking Control for PMSM System Based on Continuou...
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第41届中国控制会议
作者: Qian Wan Huiming Wang Xia Sun Chongqing Key Laboratory of Complex Systems and Bionic Control Chongqing University of Posts and Telecommunications Chongqing Institute of Engineering
In this article,a robust finite-time control strategy using continuous terminal sliding mode control(CTSMC) and sliding mode observer(SMO) is proposed to solve the problem of position tracking of permanent magnet sync... 详细信息
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Parallel Planning:A New Motion Planning Framework for Autonomous Driving
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IEEE/CAA Journal of Automatica Sinica 2019年 第1期6卷 236-246页
作者: Long Chen Xuemin Hu Wei Tian Hong Wang Dongpu Cao Fei-Yue Wang IEEE School of Data and Computer Science Sun Yat-sen University the School of Computer Science and Information Engineering Hubei University Institute of Measurement and Control Systems Karlsruhe Institute of Technology Department of Mechanical and Mechatronics Engineering University of Waterloo the State Key Laboratory of Management and Control for Complex Systems.Institute of Automation Chinese Academy of Sciences the Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology
Motion planning is one of the most significant technologies for autonomous driving. To make motion planning models able to learn from the environment and to deal with emergency situations, a new motion planning framew... 详细信息
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