Neuron Growth Output-Feedback Control by PDE Backstepping

TL;DR

This paper develops a PDE-based observer and boundary control law for axon growth regulation, ensuring exponential convergence and stabilization in neuron repair models involving tubulin concentration dynamics.

Contribution

It introduces a novel observer and control strategy for PDE-ODE coupled systems modeling neuron axon growth, with proven exponential stability results.

Findings

Global exponential convergence of the observer.

Local exponential stabilization of the axon and observer system.

Stability results depend on bounded axon growth speed.

Abstract

Neurological injuries predominantly result in loss of functioning of neurons. These neurons may regain function after particular medical therapeutics, such as Chondroitinase ABC (ChABC), that promote axon elongation by manipulating the extracellular matrix, the network of extracellular macromolecules, and minerals that control the tubulin protein concentration, which is fundamental to axon elongation. We introduce an observer for the concentration of unmeasured tubulin along the axon, as well as in the growth cone, using the measurement of the axon length and the tubulin flux at the growth cone. We employ this observer in a boundary control law which actuates the tubulin concentration at the soma (nucleus), i.e., at the end of the axon distal from the measurement location. For this PDE system with a moving boundary, coupled with a two-state ODE system, we establish global exponential convergence of the observer and local exponential stabilization of the [axon, observer] system in the spatial $\mathcal{H}_1$-norm. The results require that the axon growth speed be bounded. For an open-loop observer, this is ensured by assumption (which requires that tubulin influx at the soma be limited), whereas for the output-feedback system the growth rate of the axon is ensured by assuming that the initial conditions of all the states, including the axon length, be sufficiently close to their setpoint values.