Committee: 

Dr. F. Zhang, Advisor

Dr. Edwards, Co-Advisor      

Dr. Vela, Chair

Dr. Ma

Dr. West

Abstract:

The objective of our proposed research is to detect anomalies in estimated trajectory data of controlled Lagrangian particles. Firstly, we characterize anomaly detection problem by using the estimates of controlled speed and flow velocity. Secondly, we deal with incorporating adaptive control and learning algorithms so that anomalies are detectable under prediction error and tracking error. Thirdly, we identify environmental factors that affect acoustic detection for the localization of controlled Lagrangian particles. The proposed work will be verified by simulation and experimental results.