collaborators

6 papers

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.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…

eess.SY2026

A Distributed SOS Program For Local Stability Analysis of Polynomial PDEs in the PIE Representation

Carl R Richardson, Declan S Jagt, Matthew M Peet +1

It has recently been shown that the evolution of a state, described by a Partial Differential Equation (PDE), can be more conveniently represented as the evolution of the state's h…

math.OC2026

PIETOOLS 2025: User Manual

Sachin Shivakumar, Declan Jagt, Danilo Braghini +3

The PIETOOLS 2025 User Manual describes all the features of version 2025 of the MATLAB toolbox PIETOOLS for the analysis and control of Partial Integral Equations (PIEs). The manua…

math.OC2026

Lyapunov Functions can Exactly Quantify Rate Performance of Nonlinear Differential Equations

Declan S. Jagt, Matthew M. Peet

Pointwise-in-time stability notions for Ordinary Differential Equations (ODEs) provide quantitative metrics for system performance by establishing bounds on the rate of decay of th…

math.AP2025

Representation and Stability Analysis of 1D PDEs with Periodic Boundary Conditions

Declan Jagt, Sergei Chernyshenko, Matthew Peet

PDEs with periodic boundary conditions are frequently used to model processes in large spatial environments, assuming solutions to extend periodically beyond some bounded interval.…