Finite-dimensional boundary control for 1-D semilinear wave equation

We design a finite-dimensional state-feedback controller for the semilinear wave equation with in-domain damping under Neumann actuation. We employ the dynamic extension to shift control from the boundary to the main equation and design a controller that stabilizes a finite number of dominating modes. To address potential instability caused by the remaining modes (spillover), we develop and compare two methods: the L 2 residue separation method, resulting in an algebraic Riccati equation, and a method based on Young’s inequality, leading to linear matrix inequalities (LMIs). Numerical results show that the L 2 residue separation method provides less conservative conditions, allowing larger Lipschitz constants compared to Young’s inequality approach.

Authors

Institutions

Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.08.084
Primary Topic
Stability and Controllability of Differential Equations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Finite-dimensional boundary control for 1-D semilinear wave equation

Emilia Fridman, Anton Selivanov, Lina Pan, Pengfei Wang
IFAC-PapersOnLine
Stability and Controllability of Differential Equations
article

Finite-dimensional boundary control for 1-D semilinear wave equation

Emilia Fridman, Anton Selivanov, Lina Pan, Pengfei Wang
article en

Abstract

We design a finite-dimensional state-feedback controller for the semilinear wave equation with in-domain damping under Neumann actuation. We employ the dynamic extension to shift control from the boundary to the main equation and design a controller that stabilizes a finite number of dominating modes. To address potential instability caused by the remaining modes (spillover), we develop and compare two methods: the L 2 residue separation method, resulting in an algebraic Riccati equation, and a method based on Young’s inequality, leading to linear matrix inequalities (LMIs). Numerical results show that the L 2 residue separation method provides less conservative conditions, allowing larger Lipschitz constants compared to Young’s inequality approach.

IFAC-PapersOnLineVol. 59(8)
Beijing Institute of Technology (CN), Tel Aviv University (IL), University of Sheffield (GB)
Openalex Percentile: Top 72%
Stability and Controllability of Differential Equations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.