Process Systems Engineering: Volume 2: Multi-Parametric Model-Based Control

Description

This volume covers theoretical advances and developments, computational challenges and tools as well as applications in the area of multi-parametric model based control.
Part I is concerned with the presentation of algorithms for parametric model based control focusing on:
- novel frameworks for the derivation of explicit optimal control policies for continuous time-linear dynamic systems
- new theoretical developments on hybrid model based control
- methods for obtaining the explicit robust model-based tracking control
- theoretical frameworks for parametric dynamic optimization and
- recent developments for continuous-time systems
Part II presents a series of application in the following areas:
- the incorporation of advanced model based controllers in a simultaneous process design and control framework for complex separation systems
- the development of advanced model based control techniques for regulating the blood glucose for patients with Type 1 diabetes
- the design of model predictive and parametric controllers for anesthesia.
- the development of optimal control policies in a pilot plant exothermic reactor
The volume is intended for academics and researchers that carry out model based control research, industrial practitioners involved in the control of new and existing processes and products, policy makers, as well as for educational purposes both in academia and industry.
 

PART I: THEORY
Linear Model Predictive Control via Multi-Parametric Programming
Hybrid Parametric Model Based Control
Robust Parametric Model-Based Control
Parametric Dynamic Optimization
ConiParametric Model Based Control
PART II: APPLICATIONS
Integration of Design and Control
Model Based Control of Blood Glucose for Type 1 Diabetes
Control of Anaesthesia
Model based Control of a Pilot Plant Reactor
MPC on a Chip