Combined Model Parameter and State Fusion Estimation Based on Iterative Least Square Method
Author:
Affiliation:
1. Electronic Engineering College, Heilongjiang University,Harbin,P. R. China,150080
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240800.pdf?arnumber=10240800
Reference15 articles.
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2. The least squares based iterative algorithms for parameter estimation of a bilinear system with autoregressive noise using the data filtering technique
3. Iterative Least Squares Method Based Fusion Kalman Filter for Unknown Model Parameters System;shi;Proceedings of the 37th China Control Conference (A),2018
4. Robust fusion Kalman estimators for networked mixed uncertain systems with random one-step measurement delays, missing measurements, multiplicative noises and uncertain noise variances
5. Auxiliary model based recursive generalized least squares identification algorithm for multivariate output-error autoregressive systems using the decomposition technique
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