Switched-Gain Observers for Linear Systems by Using Max/Min Lyapunov Functions

A new switched-gain observer for linear systems subject to bounded disturbances is proposed. Specifically, we formulate the problem of constructing bimodal switched-gain observers within a hybrid systems framework, and establish novel conditions based on max/min Lyapunov functions to ensure positive invariance of the estimation error. The invariant sets are described by sublevel sets of such Lyapunov functions, which can be found by solving conditions given in terms of bilinear matrix inequalities. The observer design stems from solving such conditions by using grid search methods based on linear matrix inequalities. Numerical results are reported to show improvements with respect to previous design methods.

Authors

Institutions

Publication Details

Journal
IEEE Control Systems Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lcsys.2025.3572072
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

Switched-Gain Observers for Linear Systems by Using Max/Min Lyapunov Functions

A. Alessandri, Ricardo G. Sanfelice
IEEE Control Systems Letters
Stability and Control of Uncertain Systems
article

Switched-Gain Observers for Linear Systems by Using Max/Min Lyapunov Functions

A. Alessandri, Ricardo G. Sanfelice
article en

Abstract

A new switched-gain observer for linear systems subject to bounded disturbances is proposed. Specifically, we formulate the problem of constructing bimodal switched-gain observers within a hybrid systems framework, and establish novel conditions based on max/min Lyapunov functions to ensure positive invariance of the estimation error. The invariant sets are described by sublevel sets of such Lyapunov functions, which can be found by solving conditions given in terms of bilinear matrix inequalities. The observer design stems from solving such conditions by using grid search methods based on linear matrix inequalities. Numerical results are reported to show improvements with respect to previous design methods.

IEEE Control Systems LettersVol. 9
University of California, Santa Cruz (US), University of Genoa (IT)
U.S. Department of Defense, Air Force Office of Scientific Research, Army Research Office, Air Force Research Laboratory
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.