Research Summaries

Back Analysis of Ship Magnetic Signature Using Nonlinear Control System Methods

Fiscal Year 2015
Division Graduate School of Engineering & Applied Science
Department Electrical & Computer Engineering
Investigator(s) Yun, Xiaoping
Sponsor Office of Naval Research (Navy)
Summary The objective of this study is to investigate the feasibility of using nonlinear control system methods, artificial neural networks in particular, to estimate and predict ship magnetic sensor data without using any physical models. More specifically, given measurements of an onboard magnetic sensor array, the objective is to estimate measurements of an off-board magnetic sensor array.
Keywords
Publications Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal