A　transferable　incremental　heuristic　dynamic　programming　(TI-HDP)　algorithm　is　proposed　for　the　control　problem　of　the　dissolved　oxygen　(DO)　mass　concentration　in　the　wastewater　treatment　system.　Considering　the　characteristics　of　the　wastewater　treatment　process,　this　algorithm　improved　the　anti-interference　ability　and　weakened　the　structural　disparity　with　the　incremental　proportional-integral-derivative　(PID)　algorithm　by　improving　the　updating　method　of　the　control　variable　into　the　incremental　form.　Based　on　the　data-driven　idea　and　by　utilizing　the　historical　data　generated　under　the　action　of　the　PID　algorithm,　the　expert　experience　in　the　traditional　control　field　was　successfully　integrated　into　the　framework　of　the　TI-HDP　algorithm,　which　ensured　the　stability　of　the　control　strategy　of　the　TI-HDP　algorithm　in　the　early　stage.　Simulation　results　show　that　the　TI-HDP　algorithm　achieves　a　higher　control　accuracy　for　the　DO　mass　concentration　than　the　PID　algorithm　and　the　traditional　heuristic　dynamic　programuing　(HDP)　algorithm.　©　2025　Beijing　University　of　Technology.　All　rights　reserved.