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Spatiotemporal Optimization Through Gaussian Process-Based Model Predictive Control: A Case Study in Airborne Wind Energy.

, , , and . IEEE Trans. Contr. Sys. Techn., 27 (2): 798-805 (2019)

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Concurrent design of unity-magnitude input shapers and proportional-derivative feedback controllers., and . ACC, page 1211-1216. IEEE, (2015)A survey on reinforcement learning in aviation applications., , , , , , , , and . Eng. Appl. Artif. Intell., (2024)Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving., , , , , and . IV, page 1550-1555. IEEE, (2020)Safety Validation of Learning-Based Autonomous Systems: A Multi-Fidelity Approach.. AAAI, page 15432. AAAI Press, (2023)BEACON: A Bayesian Evolutionary Approach for Counterexample Generation of Control Systems., and . IEEE Access, (2024)Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning.. CoRR, (2023)Vision-Based Autonomous Driving: A Model Learning Approach., , , , and . ACC, page 2520-2525. IEEE, (2020)Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization., , and . ECC, page 1-6. IEEE, (2023)Spatiotemporal Optimization Through Gaussian Process-Based Model Predictive Control: A Case Study in Airborne Wind Energy., , , and . IEEE Trans. Contr. Sys. Techn., 27 (2): 798-805 (2019)Altitude optimization of Airborne Wind Energy systems: A Bayesian Optimization approach., and . ACC, page 1365-1370. IEEE, (2017)