자료유형  

 학위논문

Control Number  

0017163938

International Standard Book Number  

9798384474982

Dewey Decimal Classification Number  

629.1

Main Entry-Personal Name  

Demir, Cenk.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of California, San Diego., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

161 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-04, Section: B.

General Note  

Advisor: Krstic, Miroslav.

Dissertation Note  

Thesis (Ph.D.)--University of California, San Diego, 2024.

Summary, Etc.  

요약This dissertation introduces a control mechanism for addressing neuronal growth problems, which can be applied to neurological disorders such as spinal cord injuries, Parkinson's disease, and Alzheimer's disease that limit neuronal functionality. We consider a recent medical therapy, Chondroitinase ABC (ChABC), as a control mechanism for these conditions. ChABC aims to treat these conditions by restoring neuron functionality through axon growth for damaged neurons. It manipulates the extracellular matrix (ECM), a network of macromolecules and minerals that surrounds neurons and regulates their activity. As a result, neurons produce tubulin proteins, which cause the axon to elongate. This process is modeled as a Partial Differential Equation (PDE), representing the behavior of tubulin concentration along the axon, with a moving boundary governed by Ordinary Differential Equations (ODE) consisting of the dynamics of the axon length and tubulin concentration in the growth cone. In this dissertation, we propose nonlinear design methods for a novel state feedback control law, an observer, and an output feedback control law for a one-dimensional model of axonal elongation. We demonstrate the robustness of the model to parameter changes of up to 40% relative to the original design and analysis framework. We also address potential challenges, such as input delay, and propose a compensation mechanism to overcome these issues. In addition to theoretical challenges, we enhance the practical applicability of the proposed control law by introducing an event-triggered control mechanism that allows users to update the control law in a sample-based manner. We ensured local exponential stability and convergence of the closed-loop system, integrating the plant dynamics with the proposed control law across all these techniques. The performance of the designed control methods was validated through numerical simulations, demonstrating neuron elongation by up to three orders of magnitude. These advancements offer promising avenues for enhancing neural regeneration therapies and contribute significantly to the understanding of neural growth dynamics, while also advancing theoretical control of Stefan-type moving boundary PDE-ODE coupled systems.

Subject Added Entry-Topical Term  

Aerospace engineering.

Subject Added Entry-Topical Term  

Neurosciences.

Subject Added Entry-Topical Term  

Engineering.

Index Term-Uncontrolled  

Axon

Index Term-Uncontrolled  

Control mechanism

Index Term-Uncontrolled  

Neuronal growth

Index Term-Uncontrolled  

PDE backstepping

Index Term-Uncontrolled  

Tubulin

Index Term-Uncontrolled  

Extracellular matrix

Added Entry-Corporate Name  

University of California, San Diego Mechanical and Aerospace Engineering

Host Item Entry  

Dissertations Abstracts International. 86-04B.

Electronic Location and Access  

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Control Number  

joongbu:658143