Mean-square exponential stabilization of coupled hyperbolic systems with random parameters
Paper in proceeding, 2023

In this paper, we consider a system of two coupled scalar-valued hyperbolic partial differential equations (PDEs) with random parameters. We formulate a
stability condition under which the classical backstepping controller (designed for a nominal system whose parameters are constant) stabilizes the system. More precisely, we guarantee closed-loop mean-square exponential stability under random system parameter perturbations, provided the nominal parameters are sufficiently close to the stochastic ones on average. The proof is based on a Lyapunov analysis, the Lyapunov functional candidate describing the contraction of L2-norm of the system states. An illustrative traffic flow regulation example shows the viability and importance of the proposed result

Traffic flow

Probabilistic robustness

PDE

robust control

Backstepping control of distributed parameter systems

Control of hyperbolic systems and conservation laws

Traffic control

Author

Jean Auriol

University Paris-Saclay

Mike Pereira

Chalmers, Electrical Engineering, Systems and control

Balázs Adam Kulcsár

Chalmers, Electrical Engineering, Systems and control

IFAC-PapersOnLine

24058971 (ISSN) 24058963 (eISSN)

Vol. 56 2 8153-8158

22nd IFAC World Congress
Yokohama, Japan,

STOchastic Traffic NEtworks (STONE)

Chalmers AI Research Centre (CHAIR), -- .

Chalmers, 2020-02-01 -- 2022-01-31.

Areas of Advance

Transport

Subject Categories

Computational Mathematics

Probability Theory and Statistics

Control Engineering

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1016/j.ifacol.2023.10.991

More information

Latest update

2/23/2024