This　paper　presents　a　novel　neural　network　adaptive　sliding　mode　control　(NNASMC)　method　to　design　the　dynamic　control　system　for　an　omnidirectional　vehicle.　The　omnidirectional　vehicle　is　equipped　with　four　Mecanum　wheels　that　are　actuated　by　separate　motors,　and　thus　has　the　omnidirectional　mobility　and　excellent　athletic　ability　in　a　narrow　space.　Considering　various　uncertainties　and　unknown　external　disturbances,　kinematic　and　dynamic　models　of　the　omnidirectional　vehicle　are　established.　The　inner-loop　controller　is　designed　based　the　sliding　mode　control　(SMC)　method,　while　the　out-loop　controller　uses　the　proportion　integral　derivative　(PID)　method.　In　order　to　achieve　the　stable　and　robust　performance,　the　artificial　neural　network　(ANN)　based　adaptive　law　is　introduced　to　model　and　estimated　the　various　uncertainties　disturbances.　Stability　and　robustness　of　the　proposed　control　method　are　analyzed　using　the　Lyapunov　theory.　The　performance　of　the　proposed　NNASMC　method　is　verified　and　compared　with　the　classical　PID　controller　and　SMC　controller　through　both　the　computer　simulation　and　the　platform　experiment.　Results　validate　the　effectiveness　and　robustness　of　the　NNASMC　method　in　presence　of　uncertainties　and　unknown　external　disturbances.　(C)　2018　ISA.　Published　by　Elsevier　Ltd.　All　rights　reserved.