Continuous-Time Model Identification using Adaptive Observers – On the Selection of State Variable Filters

K. Ikeda, Y. Mogami, and T. Shimomura (Japan)


Parametric identification, Continuous time models, Adap tive observers, Sampled-data systems


The authors have proposed an identification method of continuous-time models by using adaptive observers. How ever, it was not clear how to construct the state variable fil ters, which will affect the performance of the identification. In this paper, several kinds of the state variable filters are compared by means of numerical simulations, and some in structions for a precise estimation of the plant parameters are derived.

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