John Wiley & Sons Modelling Optimization and Control of Biomedical Systems Cover Shows the newest developments in the field of multi-parametric model predictive control and optimiza.. Product #: 978-1-118-96559-7 Regular price: $151.40 $151.40 Auf Lager

Modelling Optimization and Control of Biomedical Systems

Pistikopoulos, Efstratios N. / Nascu, Ioana / Velliou, Eirini (eds.)

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1. Auflage Januar 2018
328 Seiten, Hardcover
Wiley & Sons Ltd
Pistikopoulos, Efstratios N. / Nascu, Ioana / Velliou, Eirini (Herausgeber)

ISBN: 978-1-118-96559-7
John Wiley & Sons

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Shows the newest developments in the field of multi-parametric model predictive control and optimization and their application for drug delivery systems

This book is based on the Modelling, Control and Optimization of Biomedical Systems (MOBILE) project, which was created to derive intelligent computer model-based systems for optimization of biomedical drug delivery systems in the cases of diabetes, anaesthesia, and blood cancer. These systems can ensure reliable and fast calculation of the optimal drug dosage without the need for an online computer--while taking into account the specifics and constraints of the patient model, flexibility to adapt to changing patient characteristics and incorporation of the physician's performance criteria, and maintaining the safety of the patients.

Modelling Optimization and Control of Biomedical Systems covers: mathematical modelling of drug delivery systems; model analysis, parameter estimation, and approximation; optimization and control; sensitivity analysis & model reduction; multi-parametric programming and model predictive control; estimation techniques; physiologically-based patient model; control design for volatile anaesthesia; multiparametric model based approach to intravenous anaesthesia; hybrid model predictive control strategies; Type I Diabetes Mellitus; in vitro and in silico block of the integrated platform for the study of leukaemia; chemotherapy treatment as a process systems application; and more.
* Introduces readers to the Modelling, Control and Optimization of Biomedical Systems (MOBILE) project
* Presents in detail the theoretical background, computational tools, and methods that are used in all the different biomedical systems
* Teaches the theory for multi-parametric mixed-integer programming and explicit optimal control of volatile anaesthesia
* Provides an overview of the framework for modelling, optimization, and control of biomedical systems

This book will appeal to students, researchers, and scientists working on the modelling, control, and optimization of biomedical systems and to those involved in cancer treatment, anaesthsia, and drug delivery systems.

List of contributors

Preface

CHAPTER 1

1.1 Mathematical Modelling of Drug Delivery Systems

1.2 Model analysis, parameter estimation and approximation

1.3 Optimisation and control

References

CHAPTER 2

2.1 Introduction

2.2 Sensitivity Analysis & Model Reduction

2.3. Multi-Parametric Programming and Model Predictive Control

2.4. Estimation techniques

2.5. Explicit Hybrid Control

References

CHAPTER 3

3.1 Introduction

3.2 Physiologically based patient model

3.3 Model analysis

3.4 Control Design for Volatile Anaesthesia

Conclusions

Appendix

Variable lists

References

CHAPTER 4

4.1 A Multiparametric Model Based Approach to Intravenous Anaesthesia

4.2 Simultaneous Estimation and Advanced Control

4.3 Hybrid Model Predictive Control Strategies

4.4 Conclusions

References

CHAPTER 5

5.a Type I Diabetes Mellitus: Modelling, Model Analysis and Optimisation

5.a.1 Introduction: Type 1 Diabetes Mellitus

5.a.2 Modelling the Glucoregulatory System

5.a.3 Physiologically based Compartmental Model

5.a.4 Model Analysis

5.a.5 Simulation Results

5.a.6 Dynamic Optimisation

5.b Type I Diabetes Mellitus: Glucose Regulation

5.b.1 Glucose-Insulin System: Typical Control Problem

5.b.2 Model Predictive Control Framework

5.b.3 Control Design

5.b.4 Simulation Results

5.b.5 Explicit MPC

APPENDIX 5. A

APPENDIX 5. B

APPENDIX 5. C

References

CHAPTER 6

6.1 Towards a personalised treatment for Leukaemia: From in vivo to in vitro and in silico.

6.2 In vitro block of the integrated platform for the study of leukaemia.

6.3 In silico block of the integrated platform for the study of leukaemia.

6.4 Bridging the gap between In vitro-In silico.

References

CHAPTER 7

7.1 Description of biomedical system

7.2 Experimental part

7.3 Cellular Biomarkers for monitoring leukaemia in vitro

7.4 From in vitro to in silico

References

CHAPTER 8

8.1 Introduction

8.2 Chemotherapy treatment as a process systems application

8.3 Analysis of a patient case study

8.4 Conclusions

References

Appendix 8.A: Mathematical model

Appendix 8.B: Patient Data

Index
Efstratios N. Pistikopoulos, PhD, Professor Pistikopoulos is the Interim Co-Director and Deputy Director of the Texas A&M Energy Institute, as well as a TEES Distinguished Research Professor in the Artie McFerrin Department of Chemical Engineering at Texas A&M University. A Fellow of the Institution of Chemical Engineers and of the American Institute of Chemical Engineers, and the Editor-in-Chief of Computers & Chemical Engineering, Professor Pistikopoulos received the Computing in Chemical Engineering Award of the Computing and Systems Technology (CAST) Division of the American Institute of Chemical Engineers (AIChE) in 2012, the title of Doctor Honoris Causa from the University Politehnica of Bucharest in 2014, and from the University of Pannonia in 2015; and was elected Fellow of the Royal Academy of Engineering in the UK in 2013.

Ioana Nascu, PhD, MEng, is a Postdoctoral Research Associate at Artie McFerrin Department of Chemical Engineering, Texas A&M University and part of the "Multi-parametric Optimization and Control Group" of Prof. E. N. Pistikopoulos. Her research interest are on the area advanced control strategies including model predictive control and multiparametric model predictive control as well as advanced estimation techniques. More specifically, her research focuses on developing advanced multiparametric optimization and control strategies for biomedical processes.

Eirini G. Velliou, PhD, MEng, FHEA, is an Associate Professor of Bioprocess Engineering, Principal Investigator and founder of the Bioprocess and Biochemical Engineering Group (BioProChem) at the Department of Chemical and Process Engineering of the University of Surrey, UK. Her research focus falls within the engineering and validation of platforms for studying biological systems as influenced by environmental stress, including cancer tissue engineering and environmental (cancer cell) stress response.