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Found 2 papers, 1 papers with code
Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Re-Training
By incorporating local sensitivities of nonlinear programs, the proposed method not only mimics optimal MPC inputs but also adjusts to changes in physical parameters of the model using linear predictions while still guaranteeing stability.
Approximate non-linear model predictive control with safety-augmented neural networks
Our method requires a single evaluation of the NN and forward integration of the input sequence online, which is fast to compute on resource-constrained systems.
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