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Spring 2022

Rafique, Muhammad Awais

With the improvements in the autonomy and capability of Unmanned Aerial Vehicles (UAVs), there is an increased interest in their applications in infrastructure inspection and maintenance. The focus of this thesis is to study new methods for improved UAV autonomy. In this regard, the motion...

Fall 2023

Puli, Vamsi Krishna

In modern industrial processes, the measurement and storage of thousands of correlated process variables have become commonplace. Dimensionality reduction techniques are often employed to extract underlying informative patterns called features by discarding redundant information. Slow feature...

Spring 2024

Sharma, Neha

This dissertation is concerned with the parameter estimation problem for Ornstein-Uhlenbeck processes and Vasicek models and the product formula for multiple Itˆo integrals of L´evy processes. In the first part of the thesis, we study the parameter estimation for Ornstein- Uhlenbeck processes...

Spring 2014

Guo, Qintian

Modern signal processing algorithms need to work in complicated and variable noise environments. The generalized Gaussian distribution (GGD) can be used to accurately model noise in signal processing for telecommunication and other fields because the GGD covers a wide range of distributions....

Fall 2012

Wang, Ying

This thesis develops an online parameter and state estimation scheme for a linear parameter varying (LPV) system that utilizes an iterative moving window technique. In the proposed scheme, an online algorithm, based on the input/output measurement, is implemented to approximate the real system...

Spring 2018

Zong, Fei

In this thesis, we study a mathematical model for the survival of a cells’ population exposed to various chemical compounds with different concentrations. For experimental planning, it is important to find the threshold value for the initial concentrations at which the cells become extinct....