A new one-step-ahead predictive control algorithm for a family of nonlinear MISO systems is presented. First, least squares support vector machine (LSSVM) with the quadratic multinomial function kernel is used to obtain the off-line nonlinear systemspsila model. Then, the analytical equation which includes the unknown optimal input increment and the known inputs/outputs is derived according to the predictive control mechanism. And finally the analytical equation is solved through numerical algorithm. The simulation result show the effectiveness and advantage of the one-step-ahead predictive control algorithm.