Wastewater　treatment　process　(WWTP)　is　an　important　mean　to　prevent　water　pollution　and　improve　ecological　environment.　Dissolved　oxygen　(DO)　and　nitrate　nitrogen　(NO3-N)　concentrations　are　the　main　indicators　to　affect　the　effluent　quality　(EQ).　In　order　to　achieve　high　accuracy　control,　the　artificial　intelligence　based　asymmetric　constraint　control　method　with　actuator　saturation　processing　technology　is　proposed　in　WWTP.　First,　the　fuzzy　neural　network　(FNN)　model　is　used　to　estimate　the　unknown　situations,　in　which　the　maximum　correlation　entropy　criterion　is　introduced　into　the　adjustment　of　model　structure　to　deal　with　the　dynamic　changes　of　WWTP.　Second,　the　unified　actuator　saturation　processing　model　is　established　to　achieve　the　stable　tracking　performance.　Third,　the　asymmetric　barrier　Lyapunov　function　(BLF)　is　introduced　into　the　controller　design.　Not　only　the　DO　and　NO3-N　concentrations,　but　also　the　tracking　error　are　kept　within　the　asymmetric　constraint　range　to　guarantee　the　control　performance.　Finally,　the　effectiveness　of　the　proposed　method　is　verified　via　the　dynamical　and　constant　set-points　simulation　experiments　of　benchmark　simulation　model　1　(BSM1).　©　2020　IEEE.