Aiming　at　the　problem　that　the　model　of　controlled　object　is　difficult　to　establish　due　to　the　complicated　mechanism　reaction　and　serious　uncertainty　in　the　municipal　solid　wastes　incineration　(MSWI)　process,　a　multi-input　multi-output　(MIMO)　model　based　on　Takagi-Sugeno　(T-S)　fuzzy　neural　network　(FNN)　is　designed.　First,　the　core　process　flow　of　MSWI　process　is　described　and　the　influence　factors　of　model　are　analyzed.　Then,　a　modeling　strategy　for　controlled　object　of　process　control　is　designed,　which　is　composed　of　an　operating　condition　recognition　module,　a　data　preprocessing　module,　a　feature　reduction　module,　a　training　module　for　the　model　of　controlled　object,　and　a　testing　module　for　the　model　of　controlled　object.　Finally,　the　effectiveness　of　the　constructed　model　is　verified　by　experiments,　which　lays　the　foundation　for　studying　the　optimal　control　algorithm　of　MSWI　process.　©　2022　South　China　University　of　Technology.　All　rights　reserved.