Indirect Parameter Estimation of Continuous-Time Systems using Discrete Time Data
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This paper addresses the problem of parameter
estimation of continuous-time systems using samples of its
input-output data. We propose a method based on the bilinear
transformation to obtain an equivalent discrete-time model.
Introducing a new polynomial pre-filter it .is possible to
compute the physical parameters via inverse mapping between
the discrete-time and the continuous-time models. A simulation
example is given to illustrate the noise effects in the parameter
estimation results. Using experimental results, we demonstrate
the ability of the estimator. to handle real measurement
problems.
