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检索条件"机构=2. Key Laboratory of Complex System Intelligent Control and Decision"
416 条 记 录,以下是171-180 订阅
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Target Tracking by Two UAVs under Constraint of Distances Coordination  35
Target Tracking by Two UAVs under Constraint of Distances Co...
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第35届中国控制会议
作者: LIU Hong-Yang PENG Zhi-Hong CHEN Jie FANG Hao School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology
Coordinated target tracking for a team of two heterogeneous Unmanned Aerial Vehicles(UAVs) is *** order to study the coordinated relationship by means of distances of UAV-to-target and UAV-to-UAV,a constraint of dista... 详细信息
来源: 评论
Comparative study of VSP binning methods for estimating fuel consumptions of LDVs on urban roads
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AIP Conference Proceedings 2019年 第1期2066卷
作者: Qi Zhao Qi Chen Guohua Song Lei Yu 1Beijing Key Laboratory of Urban Intelligent Traffic Control Technology North China University of Technology Beijing 100144 China 2MOE Key Laboratory for Urban Transportation Complex System Theory and Technology Beijing Jiaotong University Beijing 100044 China 3College of Science and Technology Texas Southern University Houston Texas 77004 United States
The micro-scale fuel consumption model is a tool commonly used to evaluate the effect of traffic flow conditions on vehicle fuel consumptions, which is an essential step in developing traffic management strategies for...
来源: 评论
TIEA: A tradeoff-based interactive multiobjective evolutionary algorithm  7
TIEA: A tradeoff-based interactive multiobjective evolutiona...
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7th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2.16
作者: Chen, Lu Xin, Bin Chen, Jie School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex System Beijing China
This paper proposes a tradeoff based interactive multiobjective evolutionary algorithm (TIEA). It can support the decision maker (DM) to guide the search towards the DM's most preferred solution by combing evoluti... 详细信息
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An improved adaptive exponential time-varying sliding-mode control for FDRPMSM  7
An improved adaptive exponential time-varying sliding-mode c...
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7th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2.16
作者: Dong, Ning Xie, Wei Chen, Zhen Zhao, Jing Liu, Xiangdong Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Haidian District Beijing100081 China
In this paper, an improved adaptive time-varying sliding mode controller (SMC) is designed for five-phase dual-rotor permanent magnet synchronous motor (FDRPMSM). It focuses on three objectives: 1) maintaining the hig... 详细信息
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Semantic motion segmentation for urban dynamic scene understanding
Semantic motion segmentation for urban dynamic scene underst...
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2.16 IEEE International Conference on Automation Science and Engineering, CASE 2.16
作者: Fan, Qiu Yi, Yang Hao, Li Mengyin, Fu Shunting, Wang School of Automation State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing100081 China
A mount of recent researches on scene parsing and semantic labeling, while few focus on obtaining joint semantic motion labeling. In this paper, we propose an approach to infer both the object class and motion status ... 详细信息
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Robust sampled-data control for Itô stochastic Markovian jump systems with state delay
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International Journal of Robust and Nonlinear control 2018年 第15期28卷
作者: Guoliang Chen Jian Sun Jianwei Xia School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China School of Mathematics Science Liaocheng University Liaocheng China
In this paper, the problem of robust sampled-data control for It&#2.4; stochastic Markovian jump systems (It&#2.4; SMJSs) with state delay is investigated. Using parameters-dependent Lyapunov functionals and some stoc... 详细信息
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Model predictive control for UGV trajectory tracking based on dynamic model
Model predictive control for UGV trajectory tracking based o...
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2.16 IEEE International Conference on Information and Automation, IEEE ICIA 2.16
作者: Meiling, Wang Zhen, Wang Yi, Yang Mengyin, Fu Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China Nanjing University of Science and Technology Nanjing China
In this paper, a simplified dynamic vehicle model is established to accurately describe the dynamics of Unmanned Ground Vehicle (UGV) in trajectory tracking, while meeting the real-Time computing requirement. And a mo... 详细信息
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Modified gain-based lower bounds computation for the real structured singular value  7
Modified gain-based lower bounds computation for the real st...
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7th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2.16
作者: Gao, Linjie Song, Zhuoyue Zhang, Xuenan Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education of China China Beijing Institute of Technology No.5 South Venue of ZhongGuan Village Beijing100081 China
In this paper, a modified gain-based algorithm (GBA) is presented to calculate the lower bound for the real structured singular Value (μ) problem. The basic idea of GBA is reformulating the real μ problem into a rel... 详细信息
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Process Noise Estimator Based on Observation Sequence and its Application on Inertial Navigation system
Process Noise Estimator Based on Observation Sequence and it...
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2.16 IEEE 13th International Conference on Signal Processing(ICSP2.16)
作者: Xiao Xuan Huang Kun Yang Liming Liang Yuan Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology
Kalman filter has been extensively applied in vast areas. However, it is widely acknowledged that the performance of Kalman filter depends on the accuracy of priori information such as model structure, statistics info... 详细信息
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A Self-correcting Localization Approach for Automobile Robots Based on the Two Dimensional LADAR
A Self-correcting Localization Approach for Automobile Robot...
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第35届中国控制会议
作者: Jing Li Wenxue Liu Junzheng Wang Jianan Qiao Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology
In this paper,a novel localization approach for autonomous mobile robots is *** can accomplish the all-terrain localization function with the laser radar(LADAR) and the inertial measurement unit(IMU).First of all,for ... 详细信息
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