Title :
Optimal Inputs for Nonlinear Process Parameter Estimation
Author :
Kalaba, R.E. ; Spingarn, K.
Author_Institution :
University of Southern California Los Angeles, Calif. 90007
fDate :
5/1/1974 12:00:00 AM
Abstract :
The sensitivity of observed data to an unknown parameter is enhanced by utilizing optimal inputs. The derivation is given for the optimal input of an nth-order nonlinear differential equation. To obtain the optimal input, the solution of 4n two-point boundary value equations is required. Numerical resutis are given for a second order linear example. The optimal return is compared with the return obtained for a step input. The existence of a critical time length is demonstrated.
Keywords :
Aircraft; Boundary conditions; Differential equations; Jacobian matrices; Lagrangian functions; Nonlinear equations; Parameter estimation;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.1974.307826