Unknown input observer for quadratically inner bounded-one sided Lipschitz perturbed nonlinear systems

In this paper, the problem of designing an observer for quadratically inner bounded (QIB) and one-sided Lipschitz (OSL) nonlinear systems considering perturbations in the output and unknown inputs is addressed. The observer synthesis procedures are formulated as convex optimisation problems. Sufficient conditions for observer gain synthesis are shown to be equivalent to solve finite sets of Linear Matrix Inequalities (LMIs) and Linear Matrix Equalities (LMEs). Three illustrative examples based on an isothermal CSTR reactor, a water tank-open channel system and FitzHugh–Nagumo system are used to illustrate how the proposed approaches are used to design the QIB-UIO scheme. The obtained simulation results are presented to assess the performance of the proposed method.

Authors

Institutions

Publication Details

Journal
International Journal of Systems Science
Published
2024-12-06
DOI
https://doi.org/10.1080/00207721.2024.2436141
Citations
6
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
1.97
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unknown input observer for quadratically inner bounded-one sided Lipschitz perturbed nonlinear systems

Kokou Langueh, Éric Duviella, Vicenç Puig, Lucien Etienne et al.
6 citations
International Journal of Systems Science
Stability and Control of Uncertain Systems
1.97
article

Unknown input observer for quadratically inner bounded-one sided Lipschitz perturbed nonlinear systems

Kokou Langueh, Éric Duviella, Vicenç Puig, Lucien Etienne, Pablo Segovia, Juan Pablo Arango
article en
6 citations

Abstract

In this paper, the problem of designing an observer for quadratically inner bounded (QIB) and one-sided Lipschitz (OSL) nonlinear systems considering perturbations in the output and unknown inputs is addressed. The observer synthesis procedures are formulated as convex optimisation problems. Sufficient conditions for observer gain synthesis are shown to be equivalent to solve finite sets of Linear Matrix Inequalities (LMIs) and Linear Matrix Equalities (LMEs). Three illustrative examples based on an isothermal CSTR reactor, a water tank-open channel system and FitzHugh–Nagumo system are used to illustrate how the proposed approaches are used to design the QIB-UIO scheme. The obtained simulation results are presented to assess the performance of the proposed method.

International Journal of Systems ScienceVol. 56(9)
Institut de Robòtica i Informàtica Industrial (ES), Sustainable Europe Research Institute (DE), Universitat Politècnica de Catalunya (ES)
Climate action
Openalex Percentile: Top 13%
Stability and Control of Uncertain Systems
1.97
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.