Sampled-Data Exponential Synchronization of Complex Dynamical Networks with Saturating Actuators

This paper investigates the problem of exponential synchronization control for complex dynamical systems (CDNs) with input saturation. Considering the effects of transmission delay, a memory sampled-data controller is designed. A modified two-sided looped functional is constructed that takes into account the entire sampling period, which includes both current state information and delayed state information. This functional only needs to be positive definite at the sampling instants. Sufficient criteria and the controller design method are provided to ensure the exponential synchronization of CDNs with input saturation under the influence of transmission delay, as well as the estimation of the basin of attraction. Additionally, an optimization algorithm for enlarging the region of attraction is proposed. Finally, a numerical example is presented to verify the effectiveness of the conclusion.

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Publication Details

Journal
Entropy
Published
2024-09-14
DOI
https://doi.org/10.3390/e26090785
Primary Topic
Neural Networks Stability and Synchronization
Type
article
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article

Sampled-Data Exponential Synchronization of Complex Dynamical Networks with Saturating Actuators

Wenshun Lv, Runan Guo
Entropy
Neural Networks Stability and Synchronization
article

Sampled-Data Exponential Synchronization of Complex Dynamical Networks with Saturating Actuators

Wenshun Lv, Runan Guo
article en

Abstract

This paper investigates the problem of exponential synchronization control for complex dynamical systems (CDNs) with input saturation. Considering the effects of transmission delay, a memory sampled-data controller is designed. A modified two-sided looped functional is constructed that takes into account the entire sampling period, which includes both current state information and delayed state information. This functional only needs to be positive definite at the sampling instants. Sufficient criteria and the controller design method are provided to ensure the exponential synchronization of CDNs with input saturation under the influence of transmission delay, as well as the estimation of the basin of attraction. Additionally, an optimization algorithm for enlarging the region of attraction is proposed. Finally, a numerical example is presented to verify the effectiveness of the conclusion.

EntropyVol. 26(9)
Qingdao University of Technology (CN), Shandong University of Science and Technology (CN)
Openalex Percentile: Top 82%
Neural Networks Stability and Synchronization
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