A　novel　adaptive　control　scheme　is　presented　for　control　of　chaotic　systems.　The　controller　is　designed　based　on　a　dynamic　structure　RBF　neural　network　(RBFNN)　to　solve　the　problem　of　how　to　select　proper　parameters　for　hidden　layer　of　RBFNN.　The　adaptation　law　of　the　controller　and　the　weights　of　RBFNN　are　induced　by　Lyapunov　function,　which　ensures　the　stability　of　the　closed-loop　system.　Numerical　simulation　illustrates　the　validity　of　the　control　scheme.