This　study　presented　an　optimized　control　strategy　for　ultrafiltration　(UF)　membranes　fouled　with　extracellular　polymeric　substances　(EPS)　using　the　Pontryagin　Maximum　Principle　(PMP).　A　kinetic　model　based　on　cake　mass　balance　was　first　developed　to　predict　the　membrane　flux　in　the　coupling　filtration　and　rinsing　processes.　Next,　the　variation　of　the　irreversible　resistance　and　the　model　parameters　in　each　cycle　were　evaluated.　Then,　the　duration　and　interval　of　the　coupling　process　were　optimized　by　applying　the　PMP　in　terms　of　net　water　yield　and　energy　consumption　for　different　scenarios　(different　optimal　strategies,　high-frequency　short-term　rinsing,　and　low-frequency　long-term　rinsing).　The　results　showed　that　the　proposed　model　can　accurately　capture　the　dynamic　variation　of　the　membrane　flux　in　the　coupling　filtration　and　rinsing　processes.　Meanwhile,　the　irreversible　resistance　increased　with　the　cycle　number　in　the　form　of　a　power　exponent　(　R　irr,N　=　R　irr,N　=　1　N　k　R　)　for　the　EPS　model　solution.　After　optimization　by　PMP　under　the　fixed　filtration　duration　(tf=　30　min),　the　net　water　yield　and　energy　efficiency　respectively　improved　by　over　160　%　and　71-104　%　compared　to　that　obtained　by　conventional　methods.　This　work　provided　a　framework　for　extending　lab-scale　optimization　to　real-world　applications,　offering　avenues　for　further　research　in　industrial-scale　UF　system　optimization.