A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application

Dimitrios Gerontitis, Ratikanta Behera, Panagiotis Tzekis, Predrag S. Stanimirovic. A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application. J. Computational Applied Mathematics, 403:113826, 2022. [doi]

@article{GerontitisBTS22,
  title = {A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application},
  author = {Dimitrios Gerontitis and Ratikanta Behera and Panagiotis Tzekis and Predrag S. Stanimirovic},
  year = {2022},
  doi = {10.1016/j.cam.2021.113826},
  url = {https://doi.org/10.1016/j.cam.2021.113826},
  researchr = {https://researchr.org/publication/GerontitisBTS22},
  cites = {0},
  citedby = {0},
  journal = {J. Computational Applied Mathematics},
  volume = {403},
  pages = {113826},
}