Reinforcement learning and model predictive control for robust embedded quadrotor guidance and control
Author:
Funder
Defence Science and Technology Laboratory
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10514-019-09829-4.pdf
Reference45 articles.
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3. Bali, C., & Richards, A. (2017). Robot navigation using convex model predictive control and approximate operating region optimization. In 2017 IEEE/RSJ international conference on intelligent robots and systems (IROS) (pp. 2171–2176).
4. Bellingham, J. S., Richards, A. G., & How, J. P. (2002). Receding horizon control of autonomous vehicles. In Proceedings of the American control conference.
5. Borrelli, F., Subramanian, D., Raghunathan, A. U., & Biegler, L. T. (2006). MILP and NLP techniques for centralized trajectory planning of multiple unmanned vehicles. In Proceedings of the American control conference.
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