Privacy-Preserving Dynamic Average Consensus via State Decomposition: Case Study on Multi-Robot Formation Control
Published in Automatica, 2022
BibTeX
```bibtex @article{ZhangAUTO2022_consensus, title={Privacy-Preserving Dynamic Average Consensus via State Decomposition: Case Study on Multi-Robot Formation Control}, author={\textbf{K.~Zhang} and Z. Li and Y. Wang and A. Louati and J. Chen}, journal={Automatica}, volume = {139}, pages = {110182}, year = {2022}, month = {May}, publisher={Elsevier} } ```Recommended citation: K. Zhang, Z. Li, Y. Wang, A. Louati, and J. Chen. "Privacy-Preserving Dynamic Average Consensus via State Decomposition: Case Study on Multi-Robot Formation Control." Automatica. 2022.
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