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Adaptive dynamic programming based event-triggered multi-H∞ control
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DOI：10.1016/j.neucom.2025.130157.png)
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Abstract
En 中文
This article presents an adaptive dynamic programming (ADP) based event-triggered multi-H infinity control method for the completely unknown systems. First, a weighted average method is used to ensure balanced disturbance resistance for each input. Next, neural networks (NNs) are employed to identify the dynamics of completely unknown systems. Then, critic NNs are used to approximate value functions to achieve Nash equilibrium . Additionally, event-triggered control and disturbance strategies with a new threshold are developed. Finally, the method's effectiveness is validated through two numerical experiments.
Keywords:
Adaptive dynamic programming
H infinity control
Neural network
Event-triggered mechanism
Journal
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6.5
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6.5W