For complex nonlinear systems, a single model suffers from heavy burden calculation and bad accuracy. A
modeling method based on multi-model least squares support vector machines(LSSVM) using affinity propagation clustering
algorithm is proposed. The clustering algorithm is successively applied to group the data into clusters according to input set
and output set, and LSSVM is used to construct sub-models. The model of nonlinear system is constructed by weighting all
LSSVM sub-models. The proposed method is used to identify tension and speed model for two-motor variable frequency
speed-regulating system. Simulation results show that the proposed method can be used to fit nonlinear characteristics of the
system with high precision.