A Generalized Policy Iteration Adaptive Dynamic Programming Algorithm for Optimal Control of Discrete-Time Nonlinear Systems with Actuator Saturation

Qiao Lin, Qinglai Wei, Bo Zhao. A Generalized Policy Iteration Adaptive Dynamic Programming Algorithm for Optimal Control of Discrete-Time Nonlinear Systems with Actuator Saturation. In Fengyu Cong, Andrew Chi-Sing Leung, Qinglai Wei, editors, Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21-26, 2017, Proceedings, Part II. Volume 10262 of Lecture Notes in Computer Science, pages 60-65, Springer, 2017. [doi]

@inproceedings{LinWZ17,
  title = {A Generalized Policy Iteration Adaptive Dynamic Programming Algorithm for Optimal Control of Discrete-Time Nonlinear Systems with Actuator Saturation},
  author = {Qiao Lin and Qinglai Wei and Bo Zhao},
  year = {2017},
  doi = {10.1007/978-3-319-59081-3_8},
  url = {https://doi.org/10.1007/978-3-319-59081-3_8},
  researchr = {https://researchr.org/publication/LinWZ17},
  cites = {0},
  citedby = {0},
  pages = {60-65},
  booktitle = {Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21-26, 2017, Proceedings, Part II},
  editor = {Fengyu Cong and Andrew Chi-Sing Leung and Qinglai Wei},
  volume = {10262},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-59081-3},
}