Recursive System Identification Using Outlier-Robust Local Models

被引：1

作者：

Bessa, Jessyca A. ^{[1
]}

Barreto, Guilherme A. ^{[1
]}

机构：

[1] Univ Fed Ceara, Grad Program Teleinformat Engn, Campus Pici, Fortaleza, Ceara, Brazil

来源：

IFAC PAPERSONLINE | 2019年 / 52卷 / 01期

关键词：

System identification; neural networks; local linear models; outliers; M-estimation; NETWORKS;

D O I：

10.1016/j.ifacol.2019.06.101

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we revisit the design of neural-network based local linear models for dynamic system identification aiming at extending their use to scenarios contaminated with outliers. To this purpose, we modify well-known local linear models by replacing their original recursive rules with outlier-robust variants developed from the M-estimation framework. The performances of the proposed variants are evaluated in free simulation tasks over 3 benchmarking datasets. The obtained results corroborate the considerable improvement in the performance of the proposed models in the presence of outliers. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：436 / 441

页数：6

共 50 条

[41] Outlier-robust kalman filter in the presence of correlated measurements
Wang, Hongwei
Liu, Yuanyuan
Zhang, Wei
Zuo, Junyi
SIGNAL PROCESSING, 2022, 193
[42] Outlier-robust extreme learning machine for regression problems
Zhang, Kai
Luo, Minxia
NEUROCOMPUTING, 2015, 151 : 1519 - 1527
[43] ON GROUPING EFFECT OF SPARSE STABLE OUTLIER-ROBUST REGRESSION
Suzuki, Kyohei
Yukawa, Masahiro
2022 IEEE 32ND INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP), 2022,
[44] Outlier-Robust PCA: The High-Dimensional Case
Xu, Huan
Caramanis, Constantine
Mannor, Shie
IEEE TRANSACTIONS ON INFORMATION THEORY, 2013, 59 (01) : 546 - 572
[45] An Outlier-Robust Point and Interval Forecasting System for Daily PM2.5 Concentration
Yin, Ziqi
Fang, Xin
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2021, 9
[46] An outlier-robust smoothness-based graph learning approach
Araghi, Hesam
Babaie-Zadeh, Massoud
SIGNAL PROCESSING, 2023, 206
[47] A Global Optimal and Outlier-Robust Point Set Registration Method
Long, Chenrong
Hu, Qinglei
Guo, Pengyu
Li, Dongyu
Dong, Fei
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2025,
[48] Outlier-Robust Matrix Completion via lp-Minimization
Zeng, Wen-Jun
So, Hing Cheung
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (05) : 1125 - 1140
[49] Outlier-Robust Unscented RTS Smoothing for Independent Sensing Data
Majal, Arslan
Chughtai, Aamir Hussain
IEEE SENSORS LETTERS, 2024, 8 (10)
[50] Outlier-Robust Estimation of Uncertain-Input Systems With Applications to Nonparametric FIR and Hammerstein Models
Risuleo, Riccardo Sven
Hjalmarsson, Hakan
IEEE CONTROL SYSTEMS LETTERS, 2018, 2 (04): : 647 - 652

← 1 2 3 4 5 →