Treffer: Identification of Water Depth and Velocity Potential for Water Waves

Title:
Identification of Water Depth and Velocity Potential for Water Waves
Contributors:
Shanghai Jiao Tong University [Shanghai], South China University of Technology [Guangzhou] (SCUT), Laboratoire d'automatique et de génie des procédés (LAGEP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Supérieure de Chimie Physique Électronique de Lyon (CPE)-Centre National de la Recherche Scientifique (CNRS)
Source:
Systems and Control Letters, 2019, ⟨10.1016/j.sysconle.2018.12.010⟩
Publisher Information:
CCSD; Elsevier, 2019.
Publication Year:
2019
Collection:
collection:CNRS
collection:UNIV-LYON1
collection:LAGEP
collection:SNLEP
collection:TDS-MACS
collection:DYCOP
collection:UDL
collection:UNIV-LYON
collection:LAGEPP
Original Identifier:
HAL: hal-02056751
Document Type:
Zeitschrift article<br />Journal articles
Language:
English
ISSN:
0167-6911
1872-7956
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.sysconle.2018.12.010
DOI:
10.1016/j.sysconle.2018.12.010
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.02056751v1
Database:
HAL

Weitere Informationen

The purpose of this paper is to investigate the identification of the water depth and the water velocity potential in a coastal region by using the linearized water wave equation (LWWE). Existence and uniqueness of the solutions to the partial differential equation LWWE are shown by using the semigroup theory. Moreover the analytical solution is found by the separation of variables method. We assume that the surface wave elevation is measurable. We like to recover the water depth and the water velocity potential from the measurement. This identification problem is shown to be well-posed by proving the parameters' identifiability by the surface elevation. Based on the classical gradient descent method we elaborate an identification algorithm to recover simultaneously both the water depth and the velocity potential. Numerical simulations are carried out to illustrate effectiveness of the algorithm.