The article considers the impulsive synchronization for inertial neural networks with unbounded delay and actuator saturation via sampled-data control. Based on an impulsive differential inequality, the difficulties caused by unbounded delay and impulsive effect may be effectively avoid. By applying polytopic representation technique, the actuator saturation term is first considered into the design of impulsive controller, and less conservative linear matrix inequality (LMI) criteria that guarantee asymptotical synchronization for the considered model via hybrid control are given. As special cases, the asymptotical synchronization of the considered model via sampled-data control and saturating impulsive control are also studied, respectively. Numerical simulations are presented to claim the effectiveness of theoretical analysis. A new image encryption algorithm is proposed to utilize the synchronization theory of hybrid control. The validity of image encryption algorithm can be obtained by experiments.
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| http://dx.doi.org/10.1109/TNNLS.2020.2984770 | DOI Listing |
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Article Synopsis
- The paper explores a unified tracking control approach for high-order nonlinear systems facing seven types of irregular state constraints and input saturation, utilizing a dynamic event-triggered mechanism.
- Auxiliary boundaries are introduced to manage these irregular constraints, allowing flexibility in response to changing conditions while maintaining a consistent controller structure.
- The study employs nonlinear transformed functions to enhance the controller's effectiveness, and demonstrates the approach through simulation and real-world examples, highlighting its efficiency in reducing communication and energy load.
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