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Traditionally, non-parametric impulse and frequency response functions are estimated by taking the ratio of power spectral density estimates. However, this approach may often lead to non-causal estimates. In this letter, we derive a closed form expression for the impulse response estimator by smoothed empirical transfer function estimate, which allows optimal enforcement of causality on non-parametric...
It is well known that one necessary condition to obtain identifiability in closed-loop experiments is to switch between several controllers, where the minimal number of controllers depends on the number of inputs and outputs of the system to identify. However, some questions still remain to be answered when designing experiments with these characteristics. This paper analyses the properties of models...
Prediction accuracy is a fundamental modeling requirement. This work explores different models for a solar domestic water heating system located near Viña del Mar, Chile, in order to improve model prediction accuracy over some existing alternatives. The main approach is semi-physical modeling, which combines phenomenological modeling and system identification. The former helps to organize in a conceptual...
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