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检索条件"机构=School of Automation and State Key Laboratory of Complex System Intelligent Control and Decision"
784 条 记 录,以下是521-530 订阅
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Optimal sequential estimation for multirate dynamic systems with unreliable measurements and correlated noise
Optimal sequential estimation for multirate dynamic systems ...
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第35届中国控制会议
作者: Liping Yan Jun Liu Lu Jiang Yuanqing Xia Bo Xiao Yang Liu Mengyin Fu Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications
In the field of target tracking and navigation,multi-sensor data fusion has been widely *** of the data fusion algorithms are built on the premise that the sensor observation information is ***,in practical problems,d... 详细信息
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state Estimation and Fault Detection for Nonlinear Dynamic systems
State Estimation and Fault Detection for Nonlinear Dynamic S...
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第37届中国控制会议
作者: Baohua Lu Liping Yan Hongxue Chen Yuanqing Xia Mengyin Fu Bo Xiao Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications
In practical problems, the dynamic systems are usually nonlinear. In this case, the traditional Kalman filter cannot be used for state estimation or fault detection. The two typical extension based on Kalman filtering... 详细信息
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Sequential Fusion and state Estimation for Asynchronous Multirate Multisensor Dynamic systems
Sequential Fusion and State Estimation for Asynchronous Mult...
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第三十三届中国控制会议
作者: Lu Jiang Liping Yan Bo Xiao Yuanqing Xia Mengyin Fu School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications
A sequential fusion and state estimation algorithm for an asynchronous multirate multisensor dynamic system is presented in this *** dynamic system at the finest scale is *** are multiple sensors observing a single ta... 详细信息
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The Fusion of Multisensor Images with Multi-resolutions
The Fusion of Multisensor Images with Multi-resolutions
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第三十三届中国控制会议
作者: Liping Yan Bo Xiao Yuanqing Xia Meiling Wang Mengyin Fu School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications
Images taken by different sensors at different time instant with different resolutions are formulated by state space models, and are fused by use of Multiscale Kalman Filter(MKF). The effectiveness of the presented al... 详细信息
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Graph Optimization Based Long-distance GPS/IMU Integrated Navigation
Graph Optimization Based Long-distance GPS/IMU Integrated Na...
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第三十八届中国控制会议
作者: Xiaojie Gu Fengdi Zhang Jian Xu Qing Yuan Hongwei Ma Xiangdong Liu Zhen Li School of Automation and Key Laboratory for Intelligent Control & Decision on Complex Systems Beijing Institute of Technology Beijing Aerospace Automatic Control Institute National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing
The accurate position estimation plays an critical role in the autonomous navigation for Micro Aerial Vehicles(MAV).Global positioning system(GPS) and inertial measurement unit(IMU) are two common sensors for navigati... 详细信息
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Multirate Multisensor Distributed Data Fusion Algorithm for state Estimation with Cross-Correlated Noises
Multirate Multisensor Distributed Data Fusion Algorithm for ...
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第三十二届中国控制会议
作者: Yulei Liu Liping Yan Yuanqing Xia Mengyin Fu Bo Xiao School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications
This paper is concerned with the optimal state estimation problem under linear dynamic systems when the sampling rates of different sensors are *** simplicity,we consider two sensors where one's sampling rate is t... 详细信息
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Low frequency positive real control for delta operator systems
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Automatica 2012年 第8期48卷 1791-1795页
作者: Hongjiu Yang Yuanqing Xia School of Automation Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 100081 China Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China
A strictly positive real control problem for delta operator systems in a low frequency range is presented by using the generalized Kalman–Yakubovic˘–Popov lemma. The objective of the strictly positive real control p...
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Neural network structure design based on N-gauss activation function1
arXiv
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arXiv 2021年
作者: Lu, Xiangri Ma, Hongbin Zhang, Jingcheng State Key Laboratory of Intelligent Decision and Control for Complex Systems Beijing Institute ofTechnology Beijing China Institute of Pattern Recognition and Intelligent Systems School of Automation Beijing Institute ofTechnology China Institute of Navigation Guidance and Control School of Automation Beijing Institute of
Recent work has shown that the activation function of the convolutional neural network can meet the Lipschitz condition, then the corresponding convolutional neural network structure can be constructed according to th... 详细信息
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control of Spatially Interconnected systems with Random Communication Losses
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Acta Automatica Sinica 2010年 第2期36卷 258-266页
作者: Hui LI Qing-He WU Huang HUANG School of Automation Beijing Institute of Technology Beijing 100081 P. R. China Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education Beijing 100081 P. R. China
This paper deals with analysis and synthesis problems of spatially interconnected systems where communicated information may get lost between subsystems. Spatial shift operator and temporal forward shift operator are ... 详细信息
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A Two-stage ARMAX Identification Approach Based on Bias-eliminated Least Squares and Parameter Relationship between MA Process and Its Inverse
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Acta Automatica Sinica 2012年 第3期38卷 491-496页
作者: Bin XIN Jie CHEN School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China Decision and Cognitive Sciences Research Centre Manchester Business School University of Manchester M15 6PB Manchester UK
In this paper, a two-stage approach is proposed for the parameter identification of autoregressive moving average with exogenous (ARMAX) variable model. The proposed approach identifies the autoregressive part with ex... 详细信息
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