Boundary controllability of a system modelling a partially immersed obstacle

Author:

Vergara-Hermosilla G.,Leugering G.,Wang Y.

Abstract

In this paper, we address the problem of boundary controllability for the one-dimensional nonlinear shallow water system, describing the free surface flow of water as well as the flow under a fixed gate structure. The system of differential equations considered can be interpreted as a simplified model of a particular type of wave energy device converter called oscillating water column. The physical requirements naturally lead to the problem of exact controllability in a prescribed region. In particular, we use the concept of nodal profile controllability in which at a given point (the node) time-dependent profiles for the states are required to be reachable by boundary controls. By rewriting the system into a hyperbolic system with nonlocal boundary conditions, we at first establish the semi-global classical solutions of the system, then get the local controllability and nodal profile using a constructive method. In addition, based on this constructive process, we provide an algorithmic concept to calculate the required boundary control function for generating a solution for solving these control problem.

Funder

Deutsche Forschungsgemeinschaft

H2020 Marie Skłodowska-Curie Actions

Publisher

EDP Sciences

Subject

Computational Mathematics,Control and Optimization,Control and Systems Engineering

Reference18 articles.

1. Modelling and simulation of a wave energy converter

2. Bocchi E., He J. and Vergara-Hermosilla G., Well-posedness of a nonlinear shallow water model for an oscillating water column with time-dependent air pressure. arXiv:2104.11570 (2021).

3. Bresch D., Lannes D. and Metivier G., Waves interacting with a partially immersed obstacle in the boussinesq regime. arXiv:1902.04837 (2019).

4. Exact boundary controllability of nodal profile for quasilinear hyperbolic systems in a tree-like network

5. Flow control in gas networks: Exact controllability to a given demand

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