The　wastewater　treatment　process　is　a　sophisticated　operation　characterized　by　pronounced　nonlinearity,　uncertainty,　and　time-delay　properties.　The　nitrate　nitrogen　concentration　is　identified　as　the　primary　challenge　in　meeting　total　nitrogen　standards.　To　achieve　precise　control,　an　adaptive　control　method　based　on　a　recurrent　fuzzy　neural　network　with　time　delays　is　proposed.　Initially,　the　recurrent　fuzzy　neural　network　is　utilized　to　effectively　identify　the　unknown　dynamic　parameters　in　the　wastewater　treatment　process.　Subsequently,　the　time-delay　model　of　the　denitrification　process　is　established,　and　the　Lyapunov-Krasovskii　functional　is　applied　to　mitigate　time-varying　delays.　Finally,　the　stability　of　the　designed　controller　is　theoretically　proven.　By　utilizing　Benchmark　Simulation　Model　1　simulation,　the　superior　control　performance　is　further　verified.　©　2024　IEEE.