PARAMETER-ESTIMATION OF STATE-SPACE MODELS BY RECURRENT NEURAL NETWORKS

被引：13
|
作者：
RAOL, JR
机构：
[1] Natl Aerospace Lab, Bangalore
来源：
IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS | 1995年 / 142卷 / 02期
关键词：
STATE SPACE MODELS; RECURRENT NEURAL NETWORKS; HOPFIELD NEURAL NETWORK;
D O I：
10.1049/ip-cta:19951733
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Four variants of recurrent neural networks (RNNs) are studied. The similarities and contradistinction of these formulations are brought out from the view point of their applicability to parameter estimation in dynamic systems. The trajectory matching algorithms are also given. A recursive information processing scheme within the structure of Hopfield neural network for parameter estimation is presented. Numerical simulation results for nonrecursive and recursive schemes are given.
引用
收藏
页码：114 / 118
页数：5
相关论文
共 50 条
  • [41] ON PARAMETER-ESTIMATION OF THE DMC MODELS
    YIN, G
    YIN, K
    ASBJORNSEN, OA
    STOCHASTIC ANALYSIS AND APPLICATIONS, 1991, 9 (02) : 215 - 232
  • [42] Biased Online Parameter Inference for State-Space Models
    Pierre Del Moral
    Ajay Jasra
    Yan Zhou
    Methodology and Computing in Applied Probability, 2017, 19 : 727 - 749
  • [43] Parameter Identification for Nonlinear State-Space Models of a Biological Network via Linearization and Robust State Estimation
    Xiong, Jie
    Zhou, Tong
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 8235 - 8240
  • [44] COMPARISON OF SIMULATION-BASED ALGORITHMS FOR PARAMETER ESTIMATION AND STATE RECONSTRUCTION IN NONLINEAR STATE-SPACE MODELS
    Chau, Thi Tuyet Trang
    Ailliot, Pierre
    Monbet, Valerie
    Tandeo, Pierre
    DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S, 2023, 16 (02): : 240 - 264
  • [45] The Bias Compensation Based Parameter and State Estimation for Observability Canonical State-Space Models with Colored Noise
    Wang, Xuehai
    Ding, Feng
    Liu, Qingsheng
    Jiang, Chuntao
    ALGORITHMS, 2018, 11 (11):
  • [46] State estimation for nonlinear state-space transmission models of tuberculosis
    Strydom, Duayne
    le Roux, Johan Derik
    Craig, Ian Keith
    RISK ANALYSIS, 2023, 43 (02) : 339 - 357
  • [47] State Estimation for a Class of Piecewise Affine State-Space Models
    Rui, Rafael
    Ardeshiri, Tohid
    Nurminen, Henri
    Bazanella, Alexandre
    Gustafsson, Fredrik
    IEEE SIGNAL PROCESSING LETTERS, 2017, 24 (01) : 61 - 65
  • [48] On the estimation of state matrix and noise statistics in state-space models
    Enescu, M
    Koivunen, V
    IEEE 56TH VEHICULAR TECHNOLOGY CONFERENCE, VTC FALL 2002, VOLS 1-4, PROCEEDINGS, 2002, : 2192 - 2196
  • [49] Gaussian Variational State Estimation for Nonlinear State-Space Models
    Courts, Jarrad
    Wills, Adrian
    Schon, Thomas
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2021, 69 : 5979 - 5993
  • [50] ISAR Motion Parameter Estimation Using State-Space Modeling
    Adjrad, Mounir
    Woodbridge, Karl
    2012 IEEE RADAR CONFERENCE (RADAR), 2012,
12345