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检索条件"机构=State Key Laboratory of Complex System Intelligent Control and Decision"
667 条 记 录,以下是191-200 订阅
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Event-triggered High-gain Observer Design for Nonlinear systems
Event-triggered High-gain Observer Design for Nonlinear Syst...
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第35届中国控制会议
作者: Yuan Huang Junzheng Wang Dawei Shi State Key Laboratory of Intelligent Control and Decision of Complex Systems
In this work,an event-triggered high gain observer(ET-HGO) design is considered for a continuous-time nonlinear system combined with disturbance and *** the event-trigger scheme,the performance of the ET-HGO depends... 详细信息
来源: 评论
3D Semantic Mapping Based on Convolutional Neural Networks
3D Semantic Mapping Based on Convolutional Neural Networks
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第37届中国控制会议
作者: Jing Li Yanyu Liu Junzheng Wang Min Yan Yanzhi Yao Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology
As an important part of environmental perception, maps guarantee the accuracy of intelligent robots in navigation,localization and path planning. The traditional 3D maps mainly focus on the spatial structure of the ob... 详细信息
来源: 评论
An Improved Segmentation Method for Porous Transducer CT Images
An Improved Segmentation Method for Porous Transducer CT Ima...
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2019第十一届数字图像处理国际会议
作者: Meiling Wang Ruoyu Guo Ke Ning Li Ming Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision
The paper presents an improved image segmentation method with a straightforward workflow for porous transducer CT images,which can be used to establish porous transducer three-dimensional model and further study its *... 详细信息
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Target tracking algorithm with adaptive learning rate complementary filtering
Target tracking algorithm with adaptive learning rate comple...
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第三十九届中国控制会议
作者: Yulei Pan Yongqiang Bai Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology
The Correlation filtering algorithm is not effective for fast deformation and fast movement. It is easy to lose when encountering problems such as occlusion. However, it has a good advantage of dealing with situations... 详细信息
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Analysis of LoRa for Electronic Shelf Labels Based on Distributed Machine Learning  42
Analysis of LoRa for Electronic Shelf Labels Based on Distri...
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42nd Chinese control Conference, CCC 2023
作者: Khan, Malak Abid Ali Ma, Hongbin Jin, Ying Ma, Jingxiang Rehman, Zia Ur Rahman, Mizanur School of Automation Beijing Institute of Technology Beijing100081 China Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China
Deforestation is the primary source of global warming;traditional shelf labels use paper to display the price of the products, and human forces play a pivotal role in updating the tags where the pandemic has strictly ... 详细信息
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A new control method of quadruped robot walking on rough terrain based on linear inverted pendulum method
A new control method of quadruped robot walking on rough ter...
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IEEE International Conference on Robotics and Biomimetics
作者: Xin Li Junyao Gao Qiang Huang Haojian Lu Zhe Xu Yi Liu Intelligent Robotics Institute Key Laboratory of Intelligent Control and Decision of Complex System Beijing China
This paper proposes a new method of linear inverted pendulum control, which is used to control the quadruped robot walking on regular uneven terrain such as ramp and stair, furthermore, this method can be applied to a... 详细信息
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Target Assignment Optimization of Heterogeneous Sensor Networks in Urban Environment
Target Assignment Optimization of Heterogeneous Sensor Netwo...
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第三十九届中国控制会议
作者: Chen Chen Cheng Zihao Xu Wei School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex System
Preventing and controlling Low-Slow-Small(LSS) targets are problems to be solved due to their good concealment in urban environment. Consequently, the problem of target assignment is studied in this paper. Firstly, a ... 详细信息
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Closed-form integration of IMU error state covariance for optimization-based Visual-Inertial state Estimator
Closed-form integration of IMU error state covariance for op...
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第三十九届中国控制会议
作者: Xingbo Wang Zhihong Peng Lele Xi School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex System
In this paper, we propose a closed-form IMU error state covariance integration method for optimization-based visualinertial state estimator. We derive a closed-form solutions of the IMU error state covariance propagat... 详细信息
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Aggregation in Intersection Region for Distributed Heterogeneous Mobile Sensor Networks
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Journal of systems Science and complexity 2017年 第4期30卷 932-949页
作者: Zheng Zhi Peng Zhihong Chen Jie School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081
This paper presents two aggregation strategies in convex intersection region for the distributed mobile sensor network (MSN) with heterogeneous dynamics. First, the authors analyze individual local perception model an... 详细信息
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Observer-based output feedback control of networked control systems with non-uniform sampling and time-varying delay
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International Journal of systems Science 2017年 第14期48卷 3118页
作者: Meng, Su Chen, Jie Sun, Jian Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing P.R. China
This paper investigates the problem of observer-based output feedback control for networked control systems with non-uniform sampling and time-varying transmission delay. The sampling intervals are assumed to vary wit... 详细信息
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