An LMI-based approach for characterizing the solution set of polynomial systems

Graziano Chesi, Andrea Garulli, Alberto Tesi, Antonio Vicino. An LMI-based approach for characterizing the solution set of polynomial systems. In 39th IEEE Conference on Decision and Control, CDC 2000, Sydney, Australia, December 12-15, 2000. pages 1501-1506, IEEE, 2000. [doi]

@inproceedings{ChesiGTV00,
  title = {An LMI-based approach for characterizing the solution set of polynomial systems},
  author = {Graziano Chesi and Andrea Garulli and Alberto Tesi and Antonio Vicino},
  year = {2000},
  doi = {10.1109/CDC.2000.912071},
  url = {https://doi.org/10.1109/CDC.2000.912071},
  researchr = {https://researchr.org/publication/ChesiGTV00},
  cites = {0},
  citedby = {0},
  pages = {1501-1506},
  booktitle = {39th IEEE Conference on Decision and Control, CDC 2000, Sydney, Australia, December 12-15, 2000},
  publisher = {IEEE},
  isbn = {0-7803-6638-7},
}