Event‐Triggered Saturating Control for Synchronization of Lur'e Type Complex Dynamic Networks

ABSTRACT This article addresses the problem of synchronizing discrete‐time Lur'e type complex dynamic networks (CDNs) via dynamic event‐triggered control. In particular, it is considered that the control signal of each node is subject to input saturation. Using the Lyapunov Stability Theory, properties of slope‐restricted nonlinearities, and the linear matrix inequalities framework, constructive sufficient conditions are provided to ensure regional exponential synchronization of the CDN. Differently from other works in the current literature on CDNs, which require a trial‐and‐error procedure to select the event‐triggering mechanism (ETM) parameters, two systematic approaches, based on convex optimization, are presented to simultaneously synthesize (co‐design) the control law gains and the event‐generator parameters, aiming to reduce the number of events compared to a time‐triggered policy, with formal guarantees of regional synchronization with respect to a given admissible set of initial synchronization errors. Finally, a numerical example is presented to illustrate these approaches.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-11-04
DOI
https://doi.org/10.1002/rnc.70258
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.00
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article

Event‐Triggered Saturating Control for Synchronization of Lur'e Type Complex Dynamic Networks

Carlos Lisboa, J.M. Gomes da Silva, L. G. Moreira, Jeferson Vieira Flores
International Journal of Robust and Nonlinear Control
Neural Networks Stability and Synchronization
article

Event‐Triggered Saturating Control for Synchronization of Lur'e Type Complex Dynamic Networks

Carlos Lisboa, J.M. Gomes da Silva, L. G. Moreira, Jeferson Vieira Flores
article en

Abstract

ABSTRACT This article addresses the problem of synchronizing discrete‐time Lur'e type complex dynamic networks (CDNs) via dynamic event‐triggered control. In particular, it is considered that the control signal of each node is subject to input saturation. Using the Lyapunov Stability Theory, properties of slope‐restricted nonlinearities, and the linear matrix inequalities framework, constructive sufficient conditions are provided to ensure regional exponential synchronization of the CDN. Differently from other works in the current literature on CDNs, which require a trial‐and‐error procedure to select the event‐triggering mechanism (ETM) parameters, two systematic approaches, based on convex optimization, are presented to simultaneously synthesize (co‐design) the control law gains and the event‐generator parameters, aiming to reduce the number of events compared to a time‐triggered policy, with formal guarantees of regional synchronization with respect to a given admissible set of initial synchronization errors. Finally, a numerical example is presented to illustrate these approaches.

International Journal of Robust and Nonlinear ControlVol. 36(4)
Universidade Federal do Rio Grande do Sul (BR)
Openalex Percentile: Top 62%
Neural Networks Stability and Synchronization
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