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Determination of Optimal Inputs for Precise Parameter Estimation and Model Discrimination

3 Determination of Optimal Inputs for Precise Parameter Estimation and Model Discrimination [Pg.200]

Murray and Reiff(1984) showed that the use of an optimally selected square wave for the input variables can offer considerable improvement in parameter estimation. Of course, it should be noted that the use of constant inputs is often [Pg.200]

For precise parameter estimation, we need to solve several optimal control problems each corresponding to a grid point of the operability region. The operability region is defined now by the potential values of the initial state (x0). A particular optimal control problem can be formulated as follows, [Pg.201]

Given the governing differential equations (the model) and the initial conditions, xo determine the optimal inputs, u(t), so that the determinant (for the volume criterion) or the smallest eigenvalue (for the shape criterion) of matrix Ane v (given by Equation 12.18) is maximized [Pg.201]

Obviously this optimal control problem is not a typical textbook problem . It is not even clear whether the optimal solution can be readily computed. As a result, one should consider suboptimal solutions. [Pg.201]




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Determination of model parameter

Estimates of model parameters

Estimation of model parameters

Estimation of parameters

Estimation precision

Input estimation

Model Inputs

Model discrimination

Model discrimination for

Model discriminative

Model parameter

Model parameters, estimates

Model precision

Optimal estimate

Optimism model

Optimization models

Optimization of Models

Optimization of modeling

Optimization of parameters

Optimization parameter

Parameter Estimation - Model Discrimination

Parameter determination

Parameter estimation

Parameters for estimation

Parameters input

Precision estimate

Precision of estimation

Precision of parameter estimates

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