Resilient State Estimation for Nonlinear Discrete-Time Systems via Input and State Interval Observer Synthesis
Author:
Affiliation:
1. University of California,San Diego,CA,USA
2. Arizona State University,Tempe,AZ,USA
3. Conservatoire National des Arts et Métiers (CNAM), CEDRIC-Laetitia,Paris,France
4. Northeastern University,Boston,MA,USA
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10383192/10383193/10384057.pdf?arnumber=10384057
Reference27 articles.
1. Robust estimation and fault detection and isolation algorithms for stochastic linear hybrid systems with unknown fault input
2. Switching and Data Injection Attacks on Stochastic Cyber-Physical Systems
3. Simultaneous Input and State Set-Valued Observers with Applications to Attack-Resilient Estimation
4. Resilient State Estimation and Control of Cyber-Physical Systems Against False Data Injection Attacks on Both Actuator and Sensors
5. Secure Estimation for Cyber-Physical Systems via Sliding Mode
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1. A Unified KKL-Based Interval Observer for Nonlinear Discrete-Time Systems;IEEE Control Systems Letters;2024
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