Dynamical Parameter Estimation in Nonlinear Systems
Physics Department, UCSD
This work uses synchronization along with numerical optimization to determine unmeasured state variables and parameters in a multi-dimensional system. One (or more) of the system dynamical variables is(are) measured, and then coupled into model equations for the system. A cost function is constructed to minimize the coupling and the error between the model and experimental values.
Thursday, February 5, 2009
11:00AM AP&M 2402
Center for Computational Mathematics9500 Gilman Dr. #0112La Jolla, CA 92093-0112Tel: (858)534-9056