An approach to extract state information from multivariate time series

被引:0
|
作者
Gui, Jun [1 ,2 ,3 ,4 ,5 ]
Zheng, Zeyu [1 ,3 ,4 ]
Qin, Zhaobo [5 ]
Jia, Danping [5 ]
Gao, Yuan [1 ,3 ,4 ]
Liu, Zhi [1 ,2 ,3 ,4 ]
Yao, Qingfeng [1 ,2 ,3 ,4 ]
机构
[1] Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang,110016, China
[2] University of Chinese Academy of Sciences, Beijing,100049, China
[3] Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang,110016, China
[4] Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang,110016, China
[5] School of Information Science and Engineering, Shenyang University of Technology, Shenyang,110870, China
关键词
33;
D O I
10.3966/199115992020123106001
中图分类号
学科分类号
摘要
引用
收藏
页码:1 / 11
相关论文
共 50 条
  • [1] Network of compression networks to extract useful information from multivariate time series
    Walker, David M.
    Correa, Debora C.
    JOURNAL OF COMPLEX NETWORKS, 2023, 11 (03)
  • [2] Multivariate Time Series Information Bottleneck
    Ullmann, Denis
    Taran, Olga
    Voloshynovskiy, Slava
    ENTROPY, 2023, 25 (05)
  • [3] Heterogeneous Multivariate Functional Time Series Modeling: A State Space Approach
    Liu, Peiyao
    Lin, Junpeng
    Zhang, Chen
    IEEE Transactions on Knowledge and Data Engineering, 2024, 36 (12) : 8421 - 8433
  • [4] Mixed state analysis of multivariate time series
    Wiesenfeldt, M
    Parlitz, U
    Lauterborn, W
    INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2001, 11 (08): : 2217 - 2226
  • [5] Mutual Information with Parameter Determination Approach for Feature Selection in Multivariate Time Series Prediction
    Liu, Tianhong
    Wei, Haikun
    Zhang, Chi
    Zhang, Kanjian
    ENGINEERING APPLICATIONS OF NEURAL NETWORKS, EANN 2016, 2016, 629 : 227 - 237
  • [6] Multivariate time series correlation extract and prediction based on cluster
    Han Min
    Li Decai
    PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 3, 2007, : 187 - +
  • [7] Multivariate time series modeling in a connectionist approach
    Kulkarni, DR
    Parikh, JC
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2000, 11 (01): : 159 - 173
  • [8] A new approach in multivariate time series specification
    Pestano C.
    González C.
    International Advances in Economic Research, 1998, 4 (3) : 229 - 242
  • [9] Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms
    Bauer, Dietmar
    JOURNAL OF MULTIVARIATE ANALYSIS, 2009, 100 (03) : 397 - 421
  • [10] A BAYESIAN-APPROACH TO STATE-SPACE MULTIVARIATE TIME-SERIES MODELING
    DORFMAN, JH
    HAVENNER, AM
    JOURNAL OF ECONOMETRICS, 1992, 52 (03) : 315 - 346