14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper WeB6.3

Palanthandalam-Madapusi, Harish (Univ. of Michigan), Bernstein, Dennis S. (Univ. of Michigan), Ridley, Aaron J. (Univ. of Michigan)

Subspace Identification of Periodically Switching Hammerstein-Wiener Models for Magnetospheric Dynamics

Scheduled for presentation during the Regular Session "Identification in Communication Systems" (WeB6), Wednesday, March 29, 2006, 16:10−16:30, Newcastle Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 17, 2018

Keywords Nonlinear System Identification, Subspace Methods


Two existing Hammerstein-Wiener identification algorithms and a third novel Hammerstein-Wiener identification algorithm are considered for application to the magnetospheric system. A modified subspace algorithm that allows missing data points is described and used for identifying periodically switching Hammerstein-Wiener models, to capture the periodically time-varying nature of the system. These models are used to predict ground-based magnetometer response using the ACE satellite measurements.