Deep Q-Network-Based Backstepping Controller for Synchronization of Fractional-Order Chaotic System
This study presents a reinforcement learning-based approach for the adaptive control of chaotic systems, where a Deep Q-Network (DQN) is employed to adjust the parameters of a nonlinear backstepping controller in order to maximize a predefined reward function. The proposed method is applied to a fra...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2026-06-01
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| coleção: | Applied Sciences |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2076-3417/16/11/5536 |
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