KALMAN FILTER-BASED IDENTIFICATION OF UNKNOWN EXOGENOUS INPUT OF STOCHASTIC LINEAR SYSTEMS VIA PSEUDOMEASUREMENT APPROACH

被引：0

作者：

Ohsumi, Akira ^{[1
]}

Kimura, Takuro ^{[2
]}

Kono, Michio ^{[2
]}

机构：

[1] Miyazaki Univ, Grad Sch Engn, Miyazaki 8892192, Japan

[2] Miyazaki Univ, Interdisciplinary Grad Sch Agr & Engn, Miyazaki 8892192, Japan

来源：

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2009年 / 5卷 / 01期

关键词：

Identification; Exogenous input; Pseudomeasurement; Kalman filter; TARGET TRACKING;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a new approach to identify the unknown parameter of stepwise or impulsive exogenous input to the linear system front the noisy observation data is proposed. The key of the approach is to introduce an additional information about the unknown parameter vector which is called the pseudomeasurement. Augmenting this pseudomeasurement with the original observation data, the identification of unknown. vector as well as the state estimation is performed. The efficacy of the proposed approach is confirmed by simulation studies.

引用

页码：1 / 16

页数：16

共 50 条

[41] A multi-Kalman filter-based approach for decoding arm kinematics from EMG recordings
ElMohandes, Hend
Eldawlatly, Seif
Audi, Josep Marcel Cardona
Ruff, Roman
Hoffmann, Klaus-Peter
BIOMEDICAL ENGINEERING ONLINE, 2022, 21 (01)
[42] Kalman filter-based tracking of moving objects using linear ultrasonic sensor array for road vehicles
Li, Shengbo Eben
Li, Guofa
Yu, Jiaying
Liu, Chang
Cheng, Bo
Wang, Jianqiang
Li, Keqiang
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 98 : 173 - 189
[43] Contrast enhancement and tissues classification of breast MRI using Kalman filter-based linear mixing method
Yang, Sheng-Chih
Wang, Chuin-Mu
Hsu, Hsian-He
Chung, Pau-Choo
Hsu, Giu-Cheng
Juan, Chun-Jung
Lo, Chien-Shun
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2009, 33 (03) : 187 - 196
[44] Sparse Bayesian Learning Kalman Filter-based Channel Estimation for Hybrid Millimeter Wave MIMO Systems: A Frequency Domain Approach
Ali, K. Shoukath
Sampath, P.
IETE JOURNAL OF RESEARCH, 2023, 69 (07) : 4243 - 4253
[45] Vehicle Sideslip Angle estimation under critical road conditions via nonlinear Kalman filter-based state-dependent Interacting Multiple Model approach
Tufano, Francesco
Lui, Dario Giuseppe
Battistini, Simone
Brancati, Renato
Lenzo, Basilio
Santini, Stefania
CONTROL ENGINEERING PRACTICE, 2024, 146
[46] Modal analysis of an operational offshore wind turbine using enhanced Kalman filter-based subspace identification
van Vondelen, Aemilius A. W.
Iliopoulos, Alexandros
Navalkar, Sachin T.
van der Hoek, Daan C.
van Wingerden, Jan-Willem
WIND ENERGY, 2023, 26 (09) : 923 - 945
[47] KALMAN FILTER BASED SYSTEM IDENTIFICATION EXPLOITING THE DECORRELATION EFFECTS OF LINEAR PREDICTION
Kuehl, Stefan
Antweiler, Christiane
Huebschen, Tobias
Jax, Peter
2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, : 4790 - 4794
[48] DeepLPC: A Deep Learning Approach to Augmented Kalman Filter-Based Single-Channel Speech Enhancement
Roy, Sujan Kumar
Nicolson, Aaron
Paliwal, Kuldip K.
IEEE ACCESS, 2021, 9 : 64524 - 64538
[49] Estimation of Torque Variation due to Torsional Vibration in a Rotating System Using a Kalman Filter-Based Approach
Satyajit Mahapatra
Akash Shrivastava
Biswajit Sahoo
Amiya Ranjan Mohanty
Journal of Vibration Engineering & Technologies, 2023, 11 : 1939 - 1950
[50] Single-trial dynamical estimation of event-related potentials: A Kalman filter-based approach
Georgiadis, SD
Ranta-aho, PO
Tarvainen, MR
Karjalainen, PA
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2005, 52 (08) : 1397 - 1406

← 1 2 3 4 5 →