Conformable switched‐gain observation for positive complex networks

Abstract This paper investigates state estimation for a class of positive complex networks (CN) described in the conformable fractional‐order framework. A centralized switched‐gain conformable observer is proposed, where the output‐injection gain switches between two predesigned modes according to a residual‐based hysteresis rule with a dwell‐time constraint. Under mild structural positivity assumptions (Metzler‐type linear part, nonnegative couplings, and nonnegative input/output channels) and a component‐wise slope bound on the nonlinear injection, we prove that the plant and observer preserve positivity and that the estimation error evolves within the nonnegative orthant under appropriate initial conditions. A comparison inequality is then established to upper bound the conformable error dynamics by a positive switched linear system. Using copositive Lyapunov arguments, we derive linear‐programming (LP) conditions that certify a conformable ‐gain bound from nonnegative disturbances to the residual signal. Numerical examples on a networked nonlinear model validate positivity preservation, switching behavior, and the certified conformable ‐gain inequality in stretched time for several conformable orders.

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Publication Details

Journal
Asian Journal of Control
Published
2026-05-22
DOI
https://doi.org/10.1002/asjc.70164
Primary Topic
Neural Networks Stability and Synchronization
Type
article
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article

Conformable switched‐gain observation for positive complex networks

Essia Ben Alaïa, Slim Dhahri, Omar Naifar
Asian Journal of Control
Neural Networks Stability and Synchronization
article

Conformable switched‐gain observation for positive complex networks

Essia Ben Alaïa, Slim Dhahri, Omar Naifar
article en

Abstract

Abstract This paper investigates state estimation for a class of positive complex networks (CN) described in the conformable fractional‐order framework. A centralized switched‐gain conformable observer is proposed, where the output‐injection gain switches between two predesigned modes according to a residual‐based hysteresis rule with a dwell‐time constraint. Under mild structural positivity assumptions (Metzler‐type linear part, nonnegative couplings, and nonnegative input/output channels) and a component‐wise slope bound on the nonlinear injection, we prove that the plant and observer preserve positivity and that the estimation error evolves within the nonnegative orthant under appropriate initial conditions. A comparison inequality is then established to upper bound the conformable error dynamics by a positive switched linear system. Using copositive Lyapunov arguments, we derive linear‐programming (LP) conditions that certify a conformable ‐gain bound from nonnegative disturbances to the residual signal. Numerical examples on a networked nonlinear model validate positivity preservation, switching behavior, and the certified conformable ‐gain inequality in stretched time for several conformable orders.

Asian Journal of Control
University of Sfax (TN), Jouf University (SA), University of Kairouan (TN)
Reduced inequalities
Openalex Percentile: Top 3%
Neural Networks Stability and Synchronization
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