CONSTRAINED NONLINEAR MPC USING HAMMERSTEIN AND WIENER MODELS - PLS FRAMEWORK

Methods of implementing an input-constrained, nonlinear, model-predict ive controller in latent spaces using partial-least-squares (PLS)-base d Hammerstein and Wiener models are discussed. For multiple-input, mul tiple-output (MIMO) systems, the PLS framework presents a viable alter native for identification and controller synthesis using Hammerstein a nd Wiener structures. The constraint mappings, which have to be taken into account during controller design in the PLS framework are highlig hted PLS-based Wiener models are well suited for constrained control o f nonlinear systems. The use of PLS-based Hammerstein models for contr ol involves solution of a nonlinear program as a result of the constra int mapping. The proposed approach is demonstrated on a simulated pH-l evel control of an acid - base neutralization process.