collaborators

9 papers

math.OC2026

Hierarchical Stability and Lyapunov Conditions for Linear PDEs

Matthew M. Peet

Unlike ordinary differential equations (ODEs), linear partial differential equations (PDEs) admit multiple non-equivalent notions of stability. This variety makes interpretation of…

math.AP2026

A State-Space Representation of Coupled Linear Multivariate PDEs and Stability Analysis using SDP

Declan S. Jagt, Matthew M. Peet

Physical processes evolving in both time and space are often modeled using Partial Differential Equations (PDEs). Recently, it has been shown how stability analysis and control of…

math.OC2026

Static Output Feedback Stabilization of Linear Systems with Multiple Delays

Danilo Braghini, Eduardo S. Tognetti, Matthew M. Peet

This work proposes a new procedure for the stabilization of time-delay systems using Static Output Feedback (SOF) control. A previous convex optimization approach to SOF for Ordina…

math.OC2026

-Optimal Estimation of Linear Delayed and PDE Systems

Danio Braghini, Sachin Shivakumar, Matthew M. Peet

The norm is a commonly used performance metric in the design of estimators. However, -optimal estimation of most PDEs is complicated by the lack of transfer function and…

math.DS2026

Picard Iteration for Parameter Estimation in Nonlinear Dynamic Models of Aircraft and Spacecraft

Aleksandr Talitckii, Matthew Peet

The attitude dynamics of aircraft and spacecraft exhibit significantly nonlinear behaviour. In spacecraft, torque is generated through reaction wheels and control moment gyros. In…

math.AP2026

Verifying Well-Posedness of Linear PDEs using Convex Optimization

Declan S. Jagt, Matthew M. Peet

Ensuring that a PDE model is well-posed is a necessary precursor to any form of analysis, control, or numerical simulation. Although the Lumer-Phillips theorem provides necessary a…