The actuator of any physical control systems is constrained by amplitude and energy, which causes the control systems to be inevitably affected by actuator saturation. In this paper, impulsive synchronization of coupled delayed neural networks with actuator saturation is presented. A new controller is designed to introduce actuator saturation term into impulsive controller. Based on sector nonlinearity model approach, impulsive controls with actuator saturation and with partial actuator saturation are studied, respectively, and some effective sufficient conditions are obtained. Numerical simulation is presented to verify the validity of the theoretical analysis results. Finally, the impulsive synchronization is applied to image encryption. The experimental results show that the proposed image encryption system has high security properties.
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| http://dx.doi.org/10.1016/j.neunet.2020.05.016 | 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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