Flatness-based control for generalized synchronization of chaotic systems with large dissipation and dimension mismatch

A flat control law is based on the structural analysis of a controlled system, allowing optimal placement of sensors and actuators. Once designed, any desired dynamics can be imposed onto the system. When the target dynamics comes from a system structurally different from the controlled one, generalized synchronization can be achieved, provided the control gain is sufficiently large. As the gain increases, various relationships emerge between the drive and response systems, depending on differences in their dimensions and dissipation rates. The principal contribution of this work lies in the exploration of drive-response system pairs with varying dimensions (ranging from 2 to 4) and dissipation levels, including combinations of dissipative and conservative systems. We identify several types of generalized synchronization, using a classification based on the thickness of the resulting Lissajous curves and the lack of conjugacy between the first-return maps of the drive and response systems.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2025-09-01
DOI
https://doi.org/10.1063/5.0276030
Citations
1
Primary Topic
Chaos control and synchronization
Type
article
Field-Weighted Citation Impact
1.32
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article

Flatness-based control for generalized synchronization of chaotic systems with large dissipation and dimension mismatch

Jean‐Pierre Barbot, I. Sendiña–Nadal, I. Leyva, Christophe Letellier et al.
1 citations
Chaos An Interdisciplinary Journal of Nonlinear Science
Chaos control and synchronization
1.32
article

Flatness-based control for generalized synchronization of chaotic systems with large dissipation and dimension mismatch

Jean‐Pierre Barbot, I. Sendiña–Nadal, I. Leyva, Christophe Letellier, Ludovico Minati
article en
1 citations

Abstract

A flat control law is based on the structural analysis of a controlled system, allowing optimal placement of sensors and actuators. Once designed, any desired dynamics can be imposed onto the system. When the target dynamics comes from a system structurally different from the controlled one, generalized synchronization can be achieved, provided the control gain is sufficiently large. As the gain increases, various relationships emerge between the drive and response systems, depending on differences in their dimensions and dissipation rates. The principal contribution of this work lies in the exploration of drive-response system pairs with varying dimensions (ranging from 2 to 4) and dissipation levels, including combinations of dissipative and conservative systems. We identify several types of generalized synchronization, using a classification based on the thickness of the resulting Lissajous curves and the lack of conjugacy between the first-return maps of the drive and response systems.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 35(9)
École Centrale de Nantes (FR), Centre National de la Recherche Scientifique (FR), University of Electronic Science and Technology of China (CN), Universidad Rey Juan Carlos (ES), University of Trento (IT), Complexe de Recherche Interprofessionnel en Aérothermochimie (FR), Normandie Université (FR), Innovative Research (United States) (US), Laboratoire des Sciences du Numérique de Nantes (FR), Centre for Plant Biotechnology and Genomics (ES), Université de Rouen Normandie (FR), École Nationale Supérieure de l'Électronique et de ses Applications (FR), Universidad Politécnica de Madrid (ES), Institut National des Sciences Appliquées Rouen Normandie (FR)
Openalex Percentile: Top 16%
Chaos control and synchronization
1.32
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