A model predictive control algorithm based on support vector regression(SVR)for the non-uniformly sampled system is presented. The lifted models of the non-uniformly sampled system are derived in the state-space domain

and the system is divided into several parallel subsystems according to the lifted models. SVR is utilized to establish the models of all subsystems

and these models are applied to the algorithm as the predict models. The results of multichannel electrohydraulic force servo synchronous loading system demonstrate that the prediction precision of the predict models gets high and the prediction error level of each submodel remains consistent. The simulation for the loading system control shows the satisfactory performance. Furthermore

the algorithm enables to avoid the computational delay of the digital system and to damp the overshoot caused by the mutation of the desired trajectory by designing optimization object function.