ALMAZMOUMI, EISSA (2025) Stability Analysis and Boundary Control of Coupled ODE-PDE Systems with a Class of Nonlinearity. PhD thesis, University of Sheffield.
Abstract
The research effort focusses on formulating boundary control for systems that have coupled
ordinary differential equations (ODEs) and partial differential equations (PDEs), incorporating
nonlinearity as characterized by the Wiener and Hammerstein models. The system coupling
is considered through either the states or via input-output cascade configurations.
The main objectives of the project include studying the formation and representation of
ODE-PDE systems with nonlinearities described by both the Wiener and Hammerstein models.
Additionally, the project aims to develop controllers and conduct stability analysis for these
systems.
The key contributions of the project are the development of a backstepping controller for
the Wiener ODE system coupled with a heat PDE system, along with performing stability analysis for the same. Furthermore, the research led to the design of a backstepping controller
for a Hammerstein ODE system cascaded with a wave PDE system and the corresponding
stability analysis. A similar contribution was made for the Hammerstein ODE system cascaded with a heat PDE system, where both the controller design and stability analysis were
achieved.
A significant future milestone is to extend the development to handle coupled ODE-PDE
systems with different classes of nonlinearity, which is expected to enrich the real-world
applications.
In summary, this research makes valuable contributions to boundary control strategies
for nonlinear coupled ODE-PDE systems, providing initial steps for further work on more
complex systems.
Metadata
| Supervisors: | Guo, Lingzhong and Selivanov, Anton |
|---|---|
| Awarding institution: | University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Automatic Control and Systems Engineering (Sheffield) |
| Date Deposited: | 22 Apr 2025 08:32 |
| Last Modified: | 22 Apr 2026 00:05 |
| Open Archives Initiative ID (OAI ID): | oai:etheses.whiterose.ac.uk:36680 |
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