Multi-mode model predictive control (MMPC) is an important method for the control problem of a nonlinear systemIn this paper

aiming at the selection problem of model matching criterion in multimode controller design

a weighted averaging method for multi-model manipulated variables was presented based on the ‘distance match’ criterion

in which the distance difference between current sampling state and each clustering center was used to obtain weighted averaging coefficientTo improve the precision of model

based on ‘model fusion’ technique

the predictive model was reconstructed online by modal weighted averagingThe simulation results in the pH neutralization process showed that both algorithms proposed in this paper could improve the transient response of a nonlinear system and perform good output tracking in a wide range.