Multi Set-Point Explicit Model Predictive Control for Nonlinear Process Systems

In this article, we introduce a novel framework for the design of multi set-point nonlinear explicit controllers process systems engineering problems where set-points are treated as uncertain parameters simultaneously with initial state dynamical system at each sampling instance. To end, an algorithm special class multi-parametric programming on right-hand side constraints and cost coefficients objective function is presented. The based computed algebra methods symbolic manipulation that enable analytical solution optimality conditions underlying program. A notable property presented computation exact, in general nonconvex, critical regions results potentially great computational savings through reduction number convex approximate regions.