Parameter and Delay Estimation of Continuous-time Models from Uniformly and Non-uniformly Sampled Data
This thesis is concerned with simultaneous estimation of the time delay and system parameters of continuous-time transfer function models. Estimation of the delay is different from the estimation of the rest of the parameters due to the fact that the delay does not appear explicitly in the model equation. The initiative undertaken in this research is based on the idea of bringing the delay term within the parameter vector. The idea was facilitated by a specific formulation of a linear filter for continuous-time identification. A new filter structure has been proposed and the ensuing iterative method has been developed in a novel way to estimate the delay plus other system parameters.
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