The problem of state and parameter estimation for a class of second-order time-varying systems is addressed in this paper. Two classes of estimators are designed for the system under different observability assumptions. The design procedure is based on a filtered transformation via dynamic matrix. The dynamic of the matrix is derived using the Immersion and Invariance technique. Adaptive parameter convergence is guaranteed under a weaker condition than traditional persistency of excitation, called non-square-integrability condition. The proposed estimator is shown to be applicable to the input voltage and current estimation from the output voltage of the AC-DC boost converter.
|Journal||International Journal of Control, Automation and Systems|
|Number of pages||10|
|Publication status||Published - Sep 2019|
- Filtered transformation
- Immersion and invariance technique
- Non-square-integrability condition
- Parameter estimation