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Decision transformer-based tuning for model predictive control
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DOI：10.1016/j.engappai.2026.115217.png)
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Abstract
En 中文
• Tuned linear-quadratic MPC can reproduce the optimal solution of a nonlinear problem. • MPC tuning can be formulated as a sequence modeling task by using MPC-Decisioner. • MPC-Decisioner provides interpretability for parameter tuning via attention scores.
Keywords:
Learning methods for optimal control
Model Predictive Control
Optimal control theory
Decision Transformer
Autotuning
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