This paper is concerned with on-line closed-loop model validation and detection of abrupt changes of model parameters. A detection algorithm based on the two-model divergence algorithm is developed for the validation of dynamic models under closed-loop conditions. The performance of the detection algorithm is evaluated through frequency domain analysis. Theoretical results are verified via simulation examples.