Fast interval estimation for discrete-time systems based on fixed-time convergence

Zhenhua Wang; Thach Ngoc Dinh; Qinghua Zhang; Tarek Raïssi; Yi Shen

doi:10.1016/j.ifacol.2020.12.481

Fast interval estimation for discrete-time systems based on fixed-time convergence

Zhenhua Wang^*
, Thach Ngoc Dinh
, Qinghua Zhang
, Tarek Raïssi
, Yi Shen^*

^*Corresponding author for this work

School of Astronautics, Harbin Institute of Technology
Conservatoire national des arts et métiers
Institut national de recherche en informatique et en automatique

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

This paper studies interval estimation for discrete-time linear systems with unknown but bounded disturbance and measurement noise. Inspired by the well-known parity space approach in the field of fault diagnosis, we propose a fast interval estimation method with fixed-time convergence property. A singular value decomposition-based parameter optimization algorithm is used to attenuate the effect of uncertainties on the estimation error. Comparison study illustrates the superiority of the proposed method over existing technique.

Original language	English
Pages (from-to)	4571-4575
Number of pages	5
Journal	IFAC-PapersOnLine
Volume	53
Issue number	2
DOIs	https://doi.org/10.1016/j.ifacol.2020.12.481
State	Published - 2020
Externally published	Yes
Event	21st IFAC World Congress 2020 - Berlin, Germany Duration: 12 Jul 2020 → 17 Jul 2020

Keywords

Discrete-time systems
Fixed-time
Interval estimation
Optimization

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10.1016/j.ifacol.2020.12.481

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title = "Fast interval estimation for discrete-time systems based on fixed-time convergence",

abstract = "This paper studies interval estimation for discrete-time linear systems with unknown but bounded disturbance and measurement noise. Inspired by the well-known parity space approach in the field of fault diagnosis, we propose a fast interval estimation method with fixed-time convergence property. A singular value decomposition-based parameter optimization algorithm is used to attenuate the effect of uncertainties on the estimation error. Comparison study illustrates the superiority of the proposed method over existing technique.",

keywords = "Discrete-time systems, Fixed-time, Interval estimation, Optimization",

author = "Zhenhua Wang and Dinh, \{Thach Ngoc\} and Qinghua Zhang and Tarek Ra{\"i}ssi and Yi Shen",

note = "Publisher Copyright: Copyright {\textcopyright} 2020 The Authors. This is an open access article under the CC BY-NC-ND license; 21st IFAC World Congress 2020 ; Conference date: 12-07-2020 Through 17-07-2020",

year = "2020",

doi = "10.1016/j.ifacol.2020.12.481",

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AU - Wang, Zhenhua

AU - Dinh, Thach Ngoc

AU - Zhang, Qinghua

AU - Raïssi, Tarek

AU - Shen, Yi

PY - 2020

Y1 - 2020

N2 - This paper studies interval estimation for discrete-time linear systems with unknown but bounded disturbance and measurement noise. Inspired by the well-known parity space approach in the field of fault diagnosis, we propose a fast interval estimation method with fixed-time convergence property. A singular value decomposition-based parameter optimization algorithm is used to attenuate the effect of uncertainties on the estimation error. Comparison study illustrates the superiority of the proposed method over existing technique.

AB - This paper studies interval estimation for discrete-time linear systems with unknown but bounded disturbance and measurement noise. Inspired by the well-known parity space approach in the field of fault diagnosis, we propose a fast interval estimation method with fixed-time convergence property. A singular value decomposition-based parameter optimization algorithm is used to attenuate the effect of uncertainties on the estimation error. Comparison study illustrates the superiority of the proposed method over existing technique.

KW - Discrete-time systems

KW - Fixed-time

KW - Interval estimation

KW - Optimization

UR - https://www.scopus.com/pages/publications/85101330477

U2 - 10.1016/j.ifacol.2020.12.481

DO - 10.1016/j.ifacol.2020.12.481

M3 - 会议文章

AN - SCOPUS:85101330477

SN - 2405-8971

VL - 53

SP - 4571

EP - 4575

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 2

T2 - 21st IFAC World Congress 2020

Y2 - 12 July 2020 through 17 July 2020

ER -

Fast interval estimation for discrete-time systems based on fixed-time convergence

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Keywords

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