ABSTRACT
This chapter introduces the key concepts in Model Predictive Control (MPC) for multirate (MR) systems. It illustrates the use of Inferential control (IC) and lifted control methodologies within MPC. MR systems cannot be modelled by conventional one step ahead difference models without substantial modification. There are two popular solutions to handling the MR nature of the process which then determine the controller structure: inferential control; and lifting. Lifting gives rise to a periodically time varying control law. The chapter introduces the simple models that can be used for dual rate (DR) systems. These models are needed for analysis and design. IC makes use of an internal process model which operates at the fast rate. This model is used to supply output estimates at the fast sample rate. Predictive control can be applied easily to the MR case. However the best means of doing this depends upon what models can be inferred.
