Optimal Inputs for Nonlinear Process Parameter Estimation |
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Authors: | Kalaba R.E. Spingarn K. |
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Affiliation: | University of Southern California Los Angeles, Calif. 90007; |
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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. |
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