Degradable Tracking System based on Hardware Multi-Model Estimators
Author:
Affiliation:
1. United States Naval Academy,Department of Weapons, Robotics, and Control Engineering Department of Cyber Science
2. University of Maryland,Department of Computer Science and Electrical Engineering,Baltimore County
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9984014/9984015/09984042.pdf?arnumber=9984042
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1. State Estimation Adaptable to Cyberattack Using a Hardware Programmable Bank of Kalman Filters;IEEE Transactions on Control Systems Technology;2024-09
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