The　mixed　H2/H∞　filtering　problem　for　uncertain　linear　continuous-time　systems　with　regional　pole　assignment　is　considered.　The　purpose　of　the　problem　is　to　design　an　uncertainty-independent　filter　such　that,　for　all　admissible　parameter　uncertainties,　the　following　filtering　requirements　are　simultaneously　satisfied:　1)　the　filtering　process　is　asymptotically　stable;　2)　the　poles　of　the　filtering　matrix　are　located　inside　a　prescribed　region　that　compasses　the　vertical　strips,　horizontal　strips,　disks,　or　conic　sectors;　3)　both　the　H2　norm　and　the　norm　on　the　respective　transfer　functions　are　not　more　than　the　specified　upper　bound　constraints.　We　establish　a　general　framework　to　solve　the　addressed　multiobjective　filtering　problem　completely.　In　particular,　we　derive　necessary　and　sufficient　conditions　for　the　solvability　of　the　problem　in　terms　of　a　set　of　feasible　linear　matrix　inequalities　(LMIs).　An　illustrative　example　is　given　to　illustrate　the　design　procedures　and　performances　of　the　proposed　method.　©　2005　IEEE.