In　this　paper,　the　incremental　harmonic　balance　for　nonlinearity　identification　(IHBNID)　is　presented　for　the　modeling　and　parametric　identification　of　nonlinear　systems.　The　effects　of　harmonic　balance　nonlinearity　identification　(HBNID)　and　IHBNID　are　also　studied　and　compared　by　using　the　numerical　simulation.　Considering　the　Mathieu-Duffing　equation　as　an　example,　the　effectiveness　of　the　IHBNID　can　be　verified.　With　the　aid　of　the　new　method,　the　derivation　procedures　of　the　incremental　harmonic　balance　method　are　simplified.　The　results　show　that　the　IHBNID　is　highly　efficient　for　computation,　and　its　performances　excel　in　those　of　the　HBNID,　such　as　the　computation　accuracy　and　the　noise　resistance.