The authors derive LMI and SDP conditions for data-driven LQR from noisy state measurements, but the proofs rely on unstated independence assumptions and the optimality claim is not tied to the true system.
Implementation of direct data-driven control on an instrumented bicycle,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Direct Data Driven Control Using Noisy Measurements
The authors derive LMI and SDP conditions for data-driven LQR from noisy state measurements, but the proofs rely on unstated independence assumptions and the optimality claim is not tied to the true system.