The　note　considers　an　iterative　learning　control　scheme　for　a　kind　of　switched　repetitive　systems.　The　manipulated　systems　are　specified　by　arbitrary　switching　signals　with　respective　to　both　time　variable　and　iteration　index.　By　employing　Lebesgue-p　norm,　the　learning　performance　is　analyzed　and　a　sufficient　condition　of　convergence　is　derived.　Results　show　that　the　concerned　control　law　works　well　for　tracking　problem　of　the　switched　systems　when　the　switching　rules　are　expanded　to　time-iteration　domain.　Simulation　is　included　to　verify　the　validity　of　the　approach.　©　2018　IEEE.