H∞$$ {H}_{\infty } $$ Modified Observer‐Based Fault Estimation for Markovian Jump Applied Systems

ABSTRACT This article addresses the fault estimation problem for a class of discrete‐time Markovian jump systems affected by disturbances. A novel modified observer is proposed to simultaneously estimate the system state and fault, considering both constant and time‐varying faults. By constructing a stochastic Lyapunov functional, a sufficient and solvable condition in terms of linear matrix inequalities is established to ensure the stochastic stability of the overall error dynamics system. An performance index is employed to mitigate the effects of unknown disturbances and fault variations. Subsequently, the fault estimation strategy is utilized to address the fault detection problem. Finally, the proposed approach is validated through two practical examples: a boost converter and a mass‐spring‐damper system, illustrating the applicability and feasibility of the theoretical results.

Authors

Institutions

Publication Details

Journal
Optimal Control Applications and Methods
Published
2025-12-14
DOI
https://doi.org/10.1002/oca.70065
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

H∞$$ {H}_{\infty } $$ Modified Observer‐Based Fault Estimation for Markovian Jump Applied Systems

Naoufal El Youssfi, Zakaria Chalh, Laila Dami, Taha Zoulagh et al.
Optimal Control Applications and Methods
Stability and Control of Uncertain Systems
article

H∞$$ {H}_{\infty } $$ Modified Observer‐Based Fault Estimation for Markovian Jump Applied Systems

Naoufal El Youssfi, Zakaria Chalh, Laila Dami, Taha Zoulagh, Khalid Badie
article en

Abstract

ABSTRACT This article addresses the fault estimation problem for a class of discrete‐time Markovian jump systems affected by disturbances. A novel modified observer is proposed to simultaneously estimate the system state and fault, considering both constant and time‐varying faults. By constructing a stochastic Lyapunov functional, a sufficient and solvable condition in terms of linear matrix inequalities is established to ensure the stochastic stability of the overall error dynamics system. An performance index is employed to mitigate the effects of unknown disturbances and fault variations. Subsequently, the fault estimation strategy is utilized to address the fault detection problem. Finally, the proposed approach is validated through two practical examples: a boost converter and a mass‐spring‐damper system, illustrating the applicability and feasibility of the theoretical results.

Optimal Control Applications and MethodsVol. 47(1)
Cadi Ayyad University (MA), Euro-Mediterranean University of Fes (MA), École Royale de l'Air de Marrakech (MA), Sidi Mohamed Ben Abdellah University (MA)
Openalex Percentile: Top 50%
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.