Abstract
A model conservative learning method is proposed in this paper which is able to transfer knowledge between different qualitative differential equation models of the same szstem. This is an essentialstep of generating operating procedures when multiple models with overlapping validity regions must be used to describe the controlled szstem over a wide operating range. The method is based on our previous results on introducing learning into Extended Qualitative Simulation by Bayesian identification and output prediction.
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