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2408.15362

Applications of Induced Tensor Norms to Guidance Navigation and Control

Jackson Kulik, Cedric Orton-Urbina, Maximilian Ruth, Dmitry Savransky

correctmedium confidence
Category
Not specified
Journal tier
Specialist/Solid
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper develops Taylor–series-based error bounds for flow maps and guidance problems using state transition tensors and induced tensor norms, e.g., the second- and higher-order expansions of the flow map and their big-O remainders (see the flow/STT definitions and Taylor expansions, including the second-order truncation and mth-order form in the paper’s Eqs. (3)–(11) and surrounding text ). For the transfer problem, the paper’s miss-distance bound expresses the position error in terms of the desired final position via the linear inverse Φrv−1 (Eqs. (72)–(75), (77)–(78)) ; it likewise bounds the initial-velocity error (Eq. (81)) . The model solution proves a rigorous Taylor remainder bound with an explicit Lipschitz-based O(∥h∥m+2) term and then derives the position–velocity split bound directly in terms of δv0; reparametrizing by δr*f via δv(1) = Φrv−1 δr*f recovers the paper’s form. Thus the paper’s results and the model’s solution are consistent; the model gives a more explicit analytic remainder bound, while the paper states results in big-O form and expresses guidance errors in δr*f rather than δv0.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The manuscript correctly deploys Taylor expansions of the flow via state transition tensors and induced tensor norms to produce practical error bounds and nonlinearity indices. The contributions are coherent and useful for guidance and navigation, offering computational gains and interpretability. Minor improvements include making regularity assumptions explicit, briefly recalling the remainder theorem used implicitly, and showing change-of-variables steps in guidance bounds.