By　using　an　event-based　intelligent　critic　mechanism,　this　paper　studies　the　optimal　control　problem　for　disturbed　nonlinear　continuous-Time　multi-input　systems.　First,　the　optimal　control　strategies,　the　worst　disturbance　strategy,　and　the　Hamilton-Jacobi-Isaacs　(HJI)　equation　are　derived.　Then,　by　introducing　the　event-Triggered　mechanism,　the　event-based　optimal　controls,　the　event-based　worst　disturbance,　and　the　event-based　HJI　equation　are　given.　Also,　a　novel　triggering　condition　is　proposed.　Moreover,　an　intelligent　critic　mechanism　is　developed　to　approximately　solve　the　event-based　HJI　equation,　thereby　obtaining　the　event-based　near-optimal　controls　and　the　event-based　approximate　worst　disturbance.　Especially,　during　neural　critic　learning,　we　establish　a　novel　weight　updating　rule.　Finally,　an　example　is　given　to　verify　the　effectiveness　of　the　established　mechanism.　　©　2023　IEEE.