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Embry Riddle Aeronautical University

Sliding Mode Observers for Distributed Parameter Systems: Theory and Applications

Abstract

dc:description.abstract

<p>Many processes in nature and industry can be described by partial differential equations. PDEs employ quantities such as density, temperature, velocity, etc. and their partial derivatives to model these phenomena. However, in the case of distributed parameter systems, it is not always possible to have access to the states of the systems due to technical difficulties such as lack of sensors. Therefore, there is the need for state observers to estimate the states of the system only having the output of the system available. In this research, the theory of sliding mode and variable structure systems are employed in order to design observers for different classes of distributed parameter systems such as advection equation, Burgers’ equation, Euler equations, etc. Some contributions of this research are: suggesting the state transformation which allows the arbitrary design of sliding manifold in sliding mode observer, developing some formulae for observer gain, discussing the shock wave situation and its properties and solutions, designing sliding mode observer and anomaly detection system for a system of advection equations.</p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy in Engineering Physics
Level thesis:degree_level
Dissertation - Open Access
Discipline thesis:degree_discipline
Physical Sciences
Year
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kamran, Niloofar Nasiri

Subjects

dc:subject × 3

Identifiers

dc:identifier.*
Repository record dc:identifier
https://commons.erau.edu/edt/287
OAI identifier oai:identifier
oai:commons.erau.edu:edt-1286

Chain of custody

source
Harvested from
Embry Riddle Aeronautical University
Base URL
commons.erau.edu/do/oai/
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Kamran, Niloofar Nasiri. Sliding Mode Observers for Distributed Parameter Systems: Theory and Applications. Dissertation - Open Access thesis, 2016. https://commons.erau.edu/edt/287