Model Predictive Control With Reinforcement Learning-Based Speed Profile Generation in Racing Simulator
Model Predictive Control (MPC) is a widely used optimal control strategy, particularly effective in managing complex constraints. It excels at optimizing performance within feasible limits, such as minimizing lap times in vehicle racing. However, its effectiveness can be hindered by computational bu...
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| Main Authors: | Min-Seong Kim, Tae-Hyoung Park |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10909478/ |
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