Abstract: A mixed control method combining fuzzy model-based control and neural network control is presented for a class of uncertain nonlinear system with multiple time delays. Firstly, fuzzy-model-based H∞ control law is designed by means of LMI method for time-delay nonlinear multi-input systems modeled by the fuzzy T-S model with multiple time delays. Secondly, full adaptive RBF neural network control method is used to improve the scheme of the fuzzy H∞ control. The effect of the unknown uncertainties and the error caused by fuzzy modeling is overcome by adaptive tuning of the weights, centers and widths of the RBF neural network on line, and no matching conditions or constraint conditions are required. The stability of the designed closed loop system is proved. The effectiveness of the proposed method is finally demonstrated through simulation on the multiple time-delay nonlinear chaos system.