Nonlinearities,　uncertainties,　and　complex　biochemical　reactions　are　the　main　characteristics　of　the　urban　wastewater　treatment　process.　It　is　challenging　to　ensure　that　the　effluent　water　quality　within　the　specified　range　is　subject　to　strong　interferences　such　as　the　flow　of　influent　water,　the　composition　of　the　influent　water　and　weather　changes.　Model　predictive　control　has　been　widely　used　in　urban　wastewater　treatment　in　recent　years　due　to　its　advantages　of　solving　nonlinear　system　and　problems　with　explict　constraints.　This　study　introduces　the　reasearch　status　of　model　predictive　control　method　in　urban　wastewater　treatment　process　based　on　mechanism　model　and　data-driven,　and　elaborated　the　control　effect　under　different　models　and　control　variables.　Finally,　problems　that　still　need　to　be　solved　in　the　urban　wastewater　treatment　process　are　presented.　Future　research　directions　of　the　model　predictive　control　in　the　urban　wastewater　treatment　process　control　are　suggested.　©　2022　Science　Press.　All　rights　reserved.