Anti-skid-brake systems are basic safety measures in the vehicle braking process.Slip ratio control is a very important part in the vehicle anti-skid-brake system.The vehicle braking process is a time-varying,nonlinear,and uncertain systems consideringthereal-time traffic conditions.To achieve the expected slip ratio control,the fuzzy wavelet neural networks are used to estimate the nonlinear,time varying part in the vehicle system model,and the equivalent control theory is employed to construct the slip ratio control law.The Matlab-simulink simulation shows that the designed method has good robust performance,and can control the slip ratio effectively and rapidly.