Wastewater　treatment　process,　including　multiple　biochemical　reactions,　is　a　complex　industrial　process　with　strong　nonlinearity　and　time-varying　dynamics.　It　is　a　challenge　to　design　an　effective　controller　for　this　kind　of　process.　To　solve　this　problem,　a　cooperative　fuzzy-neural　controller　is　proposed　to　improve　the　operation　performance　of　wastewater　treatment　process　in　this　article.　The　main　advantages　of　cooperative　fuzzy-neural　controller　contain　the　following　three　parts:　first,　a　structure　cooperative　strategy　is　developed　to　adjust　the　number　of　fuzzy　rules　in　the　controller　by　coordinating　the　indexes　of　similarity　and　independent　contributions.　Then,　the　structure　of　cooperative　fuzzy-neural　controller　with　the　balanced　redundant　degree　and　efficiency　can　be　adapted　to　satisfy　the　different　operation　conditions　of　wastewater　treatment　process.　Second,　a　parameter　cooperative　strategy　is　proposed　to　coordinate　the　global　and　local　parameters　of　controller.　Then,　the　parameters　can　be　optimized　together　to　meet　the　control　requirements.　Third,　the　stability　of　control　strategy　is　given　in　details.　Then,　the　corresponding　stability　conditions　are　shown　to　guide　its　application.　Finally,　the　control　performance　is　confirmed　on　the　benchmark　simulation　model　and　real　wastewater　treatment　process.　The　results　demonstrate　that　the　proposed　cooperative　fuzzy-neural　controller　can　achieve　superior　control　precision　and　low　computational　burden.