Nonlinear model validation using multiple experiments

Model validation is the formulation of an experiment to test the predictive power of a candidate model. This paper considers an atypical method for combining multiple experiments, which arises due to our choice of measure. We explore a framework for combining multiple experiment information using bifurcation theory. We follow the approach of successive deduction, hypothesis formulation and falsification testing in an attempt to invalidate a given model. The example used to illustrate the method is the practical problem of combustion instability modelling.