Abstract
In this paper, the prescribed performance synchronization problem is addressed for a class of neural networks with impulsive effects. According to the prescribed performance control principle and the Lyapunov’s second stability theorem, a preset performance control protocol is designed. For neural networks with impulsive effects, the proposed control scheme can not only guarantee the steady-state performance of synchronization errors, but also ensure the transient performance of the synchronization process. This improves the performance of the neural networks effectively. Finally, a numerical simulation is given to illustrate the effectiveness and feasibility of the proposed control scheme.
Original language | English |
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Pages (from-to) | 12587-12593 |
Number of pages | 7 |
Journal | Soft Computing |
Volume | 27 |
Issue number | 17 |
DOIs | |
State | Published - Sep 2023 |
Keywords
- Impulsive effects
- Neural networks
- Prescribed performance
- Synchronization