An Interval Observer Optimization Design Method for Discrete Linear Time-Invariant Systems

This paper proposes a gain optimization design method for an interval observer (IO) of discrete linear time-invariant (LTI) systems. First, in order to describe the quality of interval estimation, a vector norm-based specification is used to measure the interval size. Second, based on the specification, a gain optimization design method is proposed for the IO. At the end, the effectiveness of the proposed method is illustrated by numerical examples.

Authors

Institutions

Publication Details

Journal
IEEE Control Systems Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lcsys.2025.3571678
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Interval Observer Optimization Design Method for Discrete Linear Time-Invariant Systems

Feng Xu
IEEE Control Systems Letters
Stability and Control of Uncertain Systems
article

An Interval Observer Optimization Design Method for Discrete Linear Time-Invariant Systems

Feng Xu
article en

Abstract

This paper proposes a gain optimization design method for an interval observer (IO) of discrete linear time-invariant (LTI) systems. First, in order to describe the quality of interval estimation, a vector norm-based specification is used to measure the interval size. Second, based on the specification, a gain optimization design method is proposed for the IO. At the end, the effectiveness of the proposed method is illustrated by numerical examples.

IEEE Control Systems LettersVol. 9
Tsinghua University (CN)
Guangdong Provincial Postdoctoral Science Foundation
Openalex Percentile: Top 88%
Stability and Control of Uncertain Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.