Under　the　condition　that　the　disturbance　was　bounded　and　immeasurable,　a　direct　adaptive　control　method　based　on　radial　basis　function　(RBF)　neural　network　for　omni-directional　intelligent　wheelchairs　was　proposed.　Firstly,　on　the　basis　of　analyzing　inverse-dynamic　model　of　intelligent　wheelchair　platform,　an　adaptive　controller　was　proposed　based　on　RBF　neural　network　for　omni-directional　intelligent　wheelchair.　Furthermore,　by　using　Lyapunov　stability　theory,　it　had　been　proved　that　the　tracking　error　of　this　controller　was　stable　and　bounded　on　condition　that　the　disturbance　and　network　weight　were　bounded　during　the　intelligent　wheelchair＇s　control　process.　Finally,　the　validity　and　stability　of　the　proposed　method　were　verified　through　the　simulations　of　the　omni-directional　intelligent　wheelchair.