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Optimal Inputs for Nonlinear Process Parameter Estimation

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2 Author(s)
Kalaba, R.E. ; University of Southern California Los Angeles, Calif. 90007 ; Spingarn, K.

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.

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Aerospace and Electronic Systems, IEEE Transactions on  (Volume:AES-10 ,  Issue: 3 )