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

被引：0

作者：

Wang, Zhenhua ^{[1
]}

Dinh, Thach Ngoc ^{[2
]}

Zhang, Qinghua ^{[3
]}

Raissi, Tarek ^{[2
]}

Shen, Yi ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Astronaut, Harbin 150001, Peoples R China

[2] Cedr Lab, Conservatoire Natl Arts & Metiers CNAM, F-75141 Paris, France

[3] Univ Gustave Eiffel, INRIA, COSYS SII, I4S, F-35042 Rennes, France

来源：

IFAC PAPERSONLINE | 2020年 / 53卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Interval estimation; discrete-time systems; fixed-time; optimization; OBSERVER DESIGN; STATE ESTIMATION; FAULT-DETECTION;

D O I：

10.1016/j.ifacol.2020.12.481

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. Copyright (C) 2020 The Authors.

引用

页码：4571 / 4575

页数：5

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