Modified Kalman filtering based multi-step-length gradient iterative algorithm for ARX models with random missing outputs-Reference-Cited by-同舟云学术

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Modified Kalman filtering based multi-step-length gradient iterative algorithm for ARX models with random missing outputs

Published:2020-08 Issue: Volume:118 Page:109034
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Chen Jing,Zhu Quanmin,Liu Yanjun

Funder

National Natural Science Foundation of China

Science and Technology

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference20 articles.

1. Modified stochastic gradient algorithms with fast convergence rates;Chen;Journal of Vibration and Control,2011

2. Multi-step-length gradient iterative algorithm for equation-error type models;Chen;Systems & Control Letters,2018

3. Variational Bayesian approach for ARX systems with missing observations and varying time-delays;Chen;Automatica,2018

4. Gradient based iterative algorithms for solving a class of matrix equations;Ding;IEEE Transactions on Automatic Control,2005

5. Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle;Ding;IET Control Theory & Applications,2013

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