A predictive control algorithm based on local modeling is presented for a class of non-linear systems.In order to obtain reasonable training data

both the Euclidean distance between the sample data and angle of vector are considered.And the algorithm is applied in the simulation control of aromatics isomerization process.Firstly

the local-model is obtained as predictive model by least squares support vector machine(LS-SVM)algorithm.And then

the control values are obtained by the rolling particle swarm optimization(PSO)algorithm.Finally

the presented algorithm is applied in the simulation control of aromatics isomerization process

and the results show the effectiveness and robustness of the algorithm.