Identification of Non Linear Multivariable Processes Modelled on Reproducing Kernel Hilbert Space: Application to Tennessee Process

AbstractIn this paper we extend the results obtained in Reproducing Kernel Hilbert Space (RKHS) modelling in the case of Single Input Single Output (SISO) processes to the multivariable (MIMO) ones. Once the model structure is established the model parameters are identified. The validation of the identified model is built on the Tennessee Eastman Process (TE) which is a highly non linear multivariable and non minimum phase chemical process. This process which is unstable in open loop is handled as closed loop controlled process