Optimal inputs and sensitivites for nonlinear process parameter estimation using imbedding techniques

It has been shown [2], [3] that for parameter estimation of a dynamical system with a limited number of measurements, the use of inputs maximizing the sensitivity of the states with respect to the parameters increases the accuracy of the estimation. In this correspondence the continuation method is used both for determining the optimal inputs and estimating the unknown parameters. A simple example demonstrates the approach.