Modelling Optimization and Control of Biomedical Systems

2 Draft Computational Tools and Methods

Ioana Naşcu¹, Richard Oberdieck², Romain Lambert³, Pedro Rivotti³, and Efstratios N. Pistikopoulos⁴

¹ Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, USA

² DONG energy A/S, Gentofte, Denmark

³ Department of Chemical Engineering, Imperial College London, UK

⁴ Texas A&M Energy Institute, Artie McFerrin Department of Chemical Engineering, Texas A&M University, USA

2.1 Introduction

This chapter focuses on describing the computational tools that are part of the developed multiparametric model predictive control (MPC) framework presented in Chapter 1. The framework enables the solution of demanding optimization and control problems through a step‐by‐step procedure presented in this chapter. The key advantage of this is that it follows a multiparametric approach for the controller design that transfers the computational burden offline (Pistikopoulos 2000). Furthermore, the proposed procedure is not process dependent and can be adapted to any process at hand. All the steps included in the framework are realized through the developing software platform PAROC (PARametric Optimization and Control). PAROC is a user‐friendly software platform that utilizes the communication between gPROMS ModelBuilder and MATLAB. Through this software interoperability, the multiple steps are realized in a way that convenient for the user and, most importantly, tractable.

A comprehensive schematic representation of the ...