Abstract | ||
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This paper considers perception-driven control of a mobile robot for reference tracking where perception is performed by a machine learning system. The robot is subject to passive attacks and evasion attacks on image transmission. A robust output feedback controller together with a chaotic encryption system ensures input-to-state stability of the closed-loop system, and the chaotic encryption approach keeps image transmission secure. Simulations are conducted in the CARLA simulator to demonstrate robust reference tracking and secure image transmission. |
Year | DOI | Venue |
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2021 | 10.23919/ACC50511.2021.9483382 | 2021 AMERICAN CONTROL CONFERENCE (ACC) |
DocType | ISSN | Citations |
Conference | 0743-1619 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xu Zhang | 1 | 0 | 0.34 |
Zhenyuan Yuan | 2 | 0 | 1.01 |
Siyuan Xu | 3 | 0 | 0.34 |
Yang Lu | 4 | 0 | 0.68 |
Minghui Zhu | 5 | 0 | 1.35 |