Reinforcement Learning based Design of Linear Fixed Structure Controllers

Author:

Lawrence Nathan P.,Stewart Gregory E.,Loewen Philip D.,Forbes Michael G.,Backstrom Johan U.,Gopaluni R. Bhushan

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference22 articles.

1. Dynamic tuning of PI-controllers based on model-free reinforcement learning methods;Brujeni,2010

2. Incremental q-learning strategy for adaptive PID control of mobile robots;Carlucho;Expert Systems with Applications,2017

3. Henderson, P., Islam, R., Bachman, P., Pineau, J., Precup, D., and Meger, D. (2018). Deep reinforcement learning that matters. In Thirty-Second AAAI Conference on Artificial Intelligence.

4. Islam, R., Henderson, P., Gomrokchi, M., and Precup, D. (2017). Reproducibility of benchmarked deep reinforcement learning tasks for continuous control. arXiv preprint arXiv:1708.04133.

5. Neuro-dynamic programming method for mpc1;Lee;IFAC Proceedings Volumes,2001

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3. Reinforcement Learning Based Autonomous E-Vehicle Speed Control;2023 International Conference on Inventive Computation Technologies (ICICT);2023-04-26

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