This　paper　studies　the　cooperative　control　problem　for　multiple　mixed　vehicle　platoons,　which　are　composed　of　a　large　number　of　connected　autonomous　vehicles　(CAVs)　and　human-driven　vehicles　(HDVs).　Compared　to　the　routine　mixed　vehicle　platoon,　multiple　mixed　vehicle　platoons　considered　in　this　paper　are　not　limited　to　running　in　a　single　lane,　and　it　is　assumed　that　there　exists　no　globally　known　reference　velocity.　Firstly,　the　multiple　mixed　vehicle　platoons　are　divided　into　multiple　interrelated　subplatoons　according　to　the　location　of　the　CAVs.　The　structure　of　each　subplatoon　is　＇1+n＇.　i.e.,　by　a　CAV　leading　n　HDVs.　Then　a　generic　model　is　constructed　for　each　sub-platoon　based　on　the　optimal　velocity　model　for　HDV　and　the　kinematic　model　for　CAV,　respectively.　Secondly,　a　reset　strategy　based　cooperative　control　algorithm　is　designed　for　CAVs　to　lead　the　multiple　mixed　vehicle　platoons　travelling　at　a　consistent　velocity　and　a　desired　inter-vehicle　spacing,　where　the　reference　velocities　of　CAVs　are　periodically　reset　based　on　a　consensus　protocol.　Specifically,　dynamic　state　feedback　controller　is　designed　for　each　CAV　behind　under　incorporation.　Finally,　numerical　studies　validate　that　the　proposed　reset　strategy　based　cooperative　control　algorithm　can　increase　the　convergence　rate　and　ensure　comparable　control　performance　compared　to　the　existing　algorithms　that　require　a　globally　known　reference　velocity.