Data-based reinforcement learning approximate optimal control for an uncertain nonlinear system with control effectiveness faults

Patryk Deptula, Zachary I. Bell, Emily A. Doucette, J. Willard Curtis, Warren E. Dixon. Data-based reinforcement learning approximate optimal control for an uncertain nonlinear system with control effectiveness faults. Automatica, 116:108922, 2020. [doi]

@article{DeptulaBDCD20,
  title = {Data-based reinforcement learning approximate optimal control for an uncertain nonlinear system with control effectiveness faults},
  author = {Patryk Deptula and Zachary I. Bell and Emily A. Doucette and J. Willard Curtis and Warren E. Dixon},
  year = {2020},
  doi = {10.1016/j.automatica.2020.108922},
  url = {https://doi.org/10.1016/j.automatica.2020.108922},
  researchr = {https://researchr.org/publication/DeptulaBDCD20},
  cites = {0},
  citedby = {0},
  journal = {Automatica},
  volume = {116},
  pages = {108922},
}