This　paper　develops　a　novel　dynamic　event-triggered　control　method　for　nonlinear　non-affine　disturbed　continuous-time　systems.　The　established　approach　is　constructed　based　on　the　system　identification　and　addresses　the　robust-optimal　control　transformation　problem　by　modifying　the　cost　function　to　account　for　the　disturbances.　Specifically,　we　employ　a　recurrent　neural　network　to　approximate　the　non-affine　plant　as　an　affine　dynamic　system,　and　introduce　an　internal　dynamic　variable　to　design　a　dynamic　event-triggered　controller　based　on　the　critic　network.　In　the　simulation　section,　we　show　the　effectiveness　of　the　developed　method.　©　2023　IEEE.