The　stability　analysis　of　real-time　hybrid　test　(RTHT)　is　crucial　for　the　division　of　numerical　and　physical　substructures,　performance　evaluation　of　loading　system　controllers,　and　feasibility　judgment　of　RTHT　systems.　Existing　stability　analysis　methods　involve　the　parameter　identification　and　numerical　modeling　of　physical　test　systems.　In　contrast,　an　RTHT　involves　conducting　a　physical　test　on　the　hard-to-model　part.　Therefore,　it　is　difficult　to　accurately　model　the　physical　substructure　as　well　as　the　loading　and　acquisition　systems.　In　this　study,　an　RTHT　stability　prediction　method　based　on　the　measured　dynamics　of　the　physical　test　system　was　developed,　which　avoid　the　tedious　numerical　modeling　of　the　physical　test　system.　The　effectiveness　of　the　stability　prediction　method　was　verified　through　numerical　simulation　and　the　experimental　testing　of　a　multi-degree-of-freedom　shaking　table　RTHT.　The　experimental　results　showed　that　the　accuracy　of　the　developed　stability　prediction　method　was　higher　than　that　of　the　model-based　stability　prediction　method　by　35.1　%.　The　stability　prediction　method　developed　in　this　study　simplifies　the　stability　analysis　of　RTHT　and　will　help　determine　the　feasibility　of　test　in　advance.　©　2023　Elsevier　Ltd