Secure state estimation for Cyber Physical Systems with sparse malicious packet drops
| Autor: | Maria Domenica Di Benedetto, Young Hwan Chang, Gabriella Fiore, Claire J. Tomlin, Qie Hu |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering business.industry Network packet Real-time computing Linear system Payload (computing) Cyber-physical system 02 engineering and technology Computer Science::Robotics 020901 industrial engineering & automation Discrete time and continuous time Computer Science::Systems and Control Control theory Packet loss Computer Science::Multimedia 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Secure state Computer network |
| Zdroj: | ACC |
| DOI: | 10.23919/acc.2017.7963229 |
| Popis: | In this paper we investigate how to correctly estimate the state of a linear system in a discrete time setting, when the communication between sensors and/or actuators with the controller is corrupted by sparse attacks. We give conditions for the system to be resilient against malicious packet drops without assuming that the attacker follows any specific probabilistic model. The performance of the proposed algorithm is demonstrated through numerical simulations, where a flexible payload is transported by a group of Unmanned Aerial Vehicles (UAVs). |
| Databáze: | OpenAIRE |
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