Extremum Seeking Control for Wave-PDE Actuation with Distributed Effects

TL;DR

This paper introduces a boundary control law for wave PDE systems using extremum seeking control, ensuring real-time optimization and stability through backstepping and averaging theory, with numerical validation.

Contribution

It develops a novel boundary control law for wave PDEs with extremum seeking, combining trajectory re-design, backstepping, and averaging theory for stability and convergence.

Findings

Ensures exponential stability of the closed-loop system.

Achieves convergence to a neighborhood of the optimal point.

Validated effectiveness through numerical simulations.

Abstract

This paper deals with the gradient-based extremum seeking control (ESC) with actuation dynamics governed by distributed wave partial differential equations (PDEs). To achieve the control objective of real-time optimization for this class of infinite-dimensional systems, we first solve the trajectory generation problem to re-design the additive perturbation signal of the ESC system. Then, we develop a boundary control law through the backstepping method to compensate for the wave PDE with distributed effects, which ensures the exponential stability of the average closed-loop system by means of a Lyapunov-based analysis. At last, by employing the averaging theory for infinite-dimensional systems, we prove that the closed-loop trajectories converge to a small neighborhood surrounding the optimal point. Numerical simulations are presented to illustrate the effectiveness of the proposed method.