2403.08052
A Computational Method for H2-optimal Estimator and State Feedback Controller Synthesis for PDEs
Sachin Shivakumar, Matthew M. Peet
correctmedium confidence
- Category
- Not specified
- Journal tier
- Specialist/Solid
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The candidate solution reproduces the H2 upper-bound results for the estimator and the state-feedback controller under the LPI conditions that the paper states in Corollary 9 (Eq. 12) and Corollary 10 (Eq. 14). For the estimator, the model’s Lyapunov/storage-function derivation is essentially the same algebra underlying the paper’s use of Theorem 8 (Part 1) and a Schur complement. For the controller, the model proves the bound by lifting to p = T x, introducing T^{-1}, and using an observability Gramian; the paper instead uses the dual formulation (Theorem 8, Part 2) and a trace bound, avoiding assumptions about T^{-1} and Gramian existence. Hence both are valid; the model’s controller proof requires extra assumptions (invertibility of T and Gramian existence) not needed in the paper, but the core inequalities and conclusions match.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions \textbf{Journal Tier:} specialist/solid \textbf{Justification:} The paper assembles known and new elements of the PIE framework to deliver solvable LPIs for H2-optimal estimation and control without resorting to transfer functions or operator Riccati equations. The duality-based proof structure is clean and avoids extra assumptions. Minor additions clarifying solution regularity and operator assumptions would improve accessibility. The computational examples illustrate feasibility and utility.