A Backstepping-KKL observer for a cascade of a nonlinear ODE with a heat equation
Adam Braun, Lucas Brivadis, Jean Auriol
TL;DR
This work addresses state estimation for a cascade system comprising a nonlinear ODE and a one-dimensional heat equation, with the ODE’s output shaping a boundary condition and a boundary measurement taken at the opposite end. The authors fuse an infinite-dimensional KKL observer for the ODE with a backstepping PDE observer by constructing a Backstepping-KKL transformation $T=T_0+\\mathbb{T}$, where $T_0$ propagates along ODE trajectories and cancels the boundary term, while $\\mathbb{T}$ handles the PDE. They prove the existence of $T_0$, establish injectivity of the full transformation on the relevant state space under a differential observability assumption, and show convergence of the observer to the true state provided a left-inverse of $T$ exists; the convergence analysis discusses exponential rates for the transformed error and the practical impact of the inverse $T^{-1}$ on speed. Numerical simulations on two nonlinear examples illustrate effective state reconstruction and highlight trade-offs in choosing the PDE/ODE contraction parameter $\\gamma$. The work provides a first step toward applying KKL observers to nonlinear infinite-dimensional interconnections and suggests extensions to broader classes of linear PDEs in cascade with nonlinear ODEs.
Abstract
We propose an observer design for a cascaded system composed of an arbitrary nonlinear ordinary differential equation (ODE) with a 1D heat equation. The nonlinear output of the ODE imposes a boundary condition on one side of the heat equation, while the measured output is on the other side. The observer design combines an infinitedimensional Kazantzis-Kravaris/Luenberger (KKL) observer for the ODE with a backstepping observer for the heat equation. This construction is the first extension of the KKL methodology to infinite-dimensional systems. We establish the convergence of the observer under a differential observability condition on the ODE. The effectiveness of the proposed approach is illustrated in numerical simulations.
