2212.06532
Validation of Neural Network Controllers for Uncertain Systems Through Keep-Close Approach: Robustness Analysis and Safety Verification
Abdelhafid Zenati, Nabil Aouf, David Sanchez de la Llana, Samir Bennani
incompletemedium confidence
- Category
- Not specified
- Journal tier
- Specialist/Solid
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
I could not retrieve or search the uploaded PDF via the file_search tool, so the paper could not be audited or cited. Independently, the candidate solution contains internal inconsistencies in the LMI-to-dissipation identification, and it omits key standing assumptions (e.g., zero initial conditions and hard-IQC filter initial state). Hence I cannot validate the paper, and the model solution is incomplete/partially incorrect.
Referee report (LaTeX)
\textbf{Recommendation:} major revisions
\textbf{Journal Tier:} specialist/solid
\textbf{Justification:}
The candidate solution follows a standard IQC/dissipation template but currently contains an algebraic inconsistency in the LMI that undermines the stated dissipation inequality and omits essential assumptions (zero initial augmented/filter states, finite-horizon hard IQC conditions, and uniform continuity for Barbalat). Without access to the paper, I cannot verify or credit any stronger claims. Substantial revisions to correct the LMI mapping and to state all hypotheses are required.