<title>Development of a hybrid estimation toolbox for rapid prototyping</title>

The authors have developed a toolbox for hybrid estimator evaluation which allows rapid comparison of algorithms in different scenarios. The toolbox is flexible in implementing, simulating, and evaluating various algorithms, particularly those for hybrid estimation - state estimation under parametrical and/or structural uncertainties. While the toolbox is extensible, numerous models, filters, estimators, and error measures are provided by default. In this paper, examples are given of short programs written in Matlab that illustrate some of the benefits that such a toolbox can bring to researchers.