A novel weight function-based robust iterative learning identification method for discrete Box–Jenkins models with Student's t-distribution noises

Author:

Wang Zhu,Luo Xionglin

Funder

National Natural Science Foundation of China

Science Foundation of China University of Petroleum

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference38 articles.

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3. The filtering based maximum likelihood recursive least squares estimation for multiple-input single-output systems;Chen;Appl. Math. Model.,2016

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1. IMM Based Sequential Fault-tolerant Fusion Estimation with Heavy-tailed Noises;2022 34th Chinese Control and Decision Conference (CCDC);2022-08-15

2. A Robust Two-step Iterative Approach for the Identification of Hammerstein Box-Jenkins Systems;2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS);2022-08-03

3. Distributed Fusion Estimation for Multisensor Systems with Heavy-Tailed Noises;Multisensor Fusion Estimation Theory and Application;2020-11-12

4. Distributed fusion estimation for multisensor systems with non-Gaussian but heavy-tailed noises;ISA Transactions;2020-06

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