Monitoring of hybrid systems attracts both scientific and practical attention. However, monitoring algorithms suffer from the methodological difficulty only observing sampled discrete-time signals, while real behaviors are continuous-time signals. To mitigate this problem sampling uncertainties, we introduce a model-bounded scheme, where use prior knowledge about target system to prune interpol...