中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [3]
数学与系统科学研究院 [2]
采集方式
OAI收割 [5]
内容类型
期刊论文 [5]
发表日期
2021 [2]
2019 [2]
2011 [1]
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Closed-loop identification for a class of nonlinearly parameterized discrete-time systems
期刊论文
OAI收割
AUTOMATICA, 2021, 卷号: 131, 页码: 11
作者:
Li, Chanying
  |  
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2021/10/26
Closed-loop identification
Strong consistency
Nonlinear estimator
Parametric systems
Random noises
Dynamic System Identification of Underwater Vehicles Using Multi-output Gaussian Processes
期刊论文
OAI收割
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 681-693
作者:
Wilmer Ariza Ramirez
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/09/13
Dependent Gaussian processes
dynamic system identification
multi-output Gaussian processes
non-parametric identification
autonomous underwater vehicle (AUV)
Variable selection of high-dimensional non-parametric nonlinear systems by derivative averaging to avoid the curse of dimensionality
期刊论文
OAI收割
AUTOMATICA, 2019, 卷号: 101, 页码: 138-149
作者:
Bai, Er-Wei
;
Cheng, Changming
;
Zhao, Wen-Xiao
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2019/04/02
Variable selection
Nonlinear identification
Kernel
Non-parametric systems
Development and Modeling of Remotely Operated Scaled Multi-wheeled Combat Vehicle Using System Identification
期刊论文
OAI收割
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 261-273
作者:
A. N. Ouda
;
Amr Mohamed
;
Moustafa EI-Gindy
;
Haoxiang Lang
;
Jing Ren
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/02/22
Autonomous multi-wheeled vehicle
system identification
all wheel steering
fuzzy logic (FL)
parametric identification.
Growth and development simulation based on functional-structural model GreenLab for poplar (Salicaceae)
期刊论文
OAI收割
AFRICAN JOURNAL OF AGRICULTURAL RESEARCH, 2011, 卷号: 6, 期号: 13, 页码: 3071-3077
作者:
Yang, Gang
;
Cao, Weiqun
;
Liu, Dongxiang
;
Kang, Mengzhen
;
Letort, Veronique
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2015/08/12
Poplar
Populus x euramericana cv. Neva
GreenLab
growth and development
parametric identification