Regret bounds for online-learning-based linear quadratic control under database attacks

DOI10.1016/j.automatica.2023.110876zbMath1520.93623OpenAlexW4321016079MaRDI QIDQ6163981

Cédric Langbort, Jafar Abbaszadeh Chekan

Publication date: 30 June 2023

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2023.110876

zbMATH Keywords

regret boundlearning-based controldatabase attacks

Mathematics Subject Classification ID

Least squares and related methods for stochastic control systems (93E24) Optimal stochastic control (93E20) Linear-quadratic optimal control problems (49N10) Stochastic learning and adaptive control (93E35)

Cites Work

• On the computational complexity of the secure state-reconstruction problem
• On adaptive linear-quadratic regulators
• Efficient Computations of a Security Index for False Data Attacks in Power Networks
• Secure Estimation and Control for Cyber-Physical Systems Under Adversarial Attacks
• Stealthy deception attacks on water SCADA systems
• Adaptive Linear Quadratic Gaussian Control: The Cost-Biased Approach Revisited

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