This　paper　studies　the　resilient　cooperative　output　regulation　problem　of　uncertain　linear　multi-agent　systems　under　denial-of-service　(DoS)　attacks.　An　integrated　resilient　distributed　observer　and　a　resilient　distributed　canonical　internal　model　approach　have　been　proposed.　First,　a　hybrid　sampling　mechanism　that　mixes　event-triggered　and　time-triggered　scenarios　has　been　adopted,　with　which　a　sampled　output　based　resilient　distributed　observer　is　designed　against　DoS　attacks.　Second,　the　resilient　cooperative　output　regulation　problem　is　converted　into　an　input-output　stabilization　problem　of　an　augmented　system　composed　of　the　plant,　the　reduced-order　observer,　and　the　resilient　distributed　canonical　internal　model.　Then,　an　adaptive　stabilizer　is　synthesized　to　stabilize　the　augmented　system　using　a　recursive　iteration　approach.　Finally,　the　effectiveness　of　the　proposed　control　design　is　verified　by　an　example　of　the　quarter-car　active　automotive　suspension　system.