The　automatic　combustion　control　(ACC)　system　of　municipal　solid　waste　incineration　(MSWI)　processes　realizes　the　stable　operation　through　the　coupling　control　among　multiple　loops.　However,　due　to　the　difference　in　municipal　waste　solid　components　and　operating　level,　the　introduced　ACC　system　is　difficult　to　be　directly　applied　in　China.　The　research　on　MSWI　process　controlling　is　still　the　key　to　solve　its　stable　running.　Aiming　at　the　strong　coupling　and　nonlinear　characteristics　of　MSWI　processes,　this　paper　proposes　a　multiple　input　multiple　output　control　method　based　on　single　neuron　adaptive　PID.　Firstly,　multi-input　multi-output　controlled　object　models　in　terms　of　furnace　temperature　(FT),　boiler　steam　flow　(BSF),　and　oxygen　(OX)　content　are　established,　whose　input　and　output　are　determined　on　the　basis　of　MSWI　process　flow　and　ACC　system＇s　mechanism.　Then,　based　on　the　experience　of　experts　in　the　field,　the　multi-loop　controller　of　the　MSWI　process　is　established　by　using　single　neuron　adaptive　PID　controller.　Finally,　the　accuracy　and　effectiveness　of　the　proposed　framework　are　verified　by　actual　industrial　process　data.