Data-Driven Solutions to Mixed $H_{2}/H_{\infty}$ Control: A Hamilton-Inequality-Driven Reinforcement Learning Approach

Yongliang Yang, Majid Mazouchi, Hamidreza Modares. Data-Driven Solutions to Mixed $H_{2}/H_{\infty}$ Control: A Hamilton-Inequality-Driven Reinforcement Learning Approach. In 2020 IEEE Conference on Control Technology and Applications, CCTA 2020, Montreal, QC, Canada, August 24-26, 2020. pages 340-345, IEEE, 2020. [doi]

@inproceedings{YangMM20-0,
  title = {Data-Driven Solutions to Mixed $H_{2}/H_{\infty}$ Control: A Hamilton-Inequality-Driven Reinforcement Learning Approach},
  author = {Yongliang Yang and Majid Mazouchi and Hamidreza Modares},
  year = {2020},
  doi = {10.1109/CCTA41146.2020.9206320},
  url = {https://doi.org/10.1109/CCTA41146.2020.9206320},
  researchr = {https://researchr.org/publication/YangMM20-0},
  cites = {0},
  citedby = {0},
  pages = {340-345},
  booktitle = {2020 IEEE Conference on Control Technology and Applications, CCTA 2020, Montreal, QC, Canada, August 24-26, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-7140-1},
}