Bioresponse Measurements and Process Control (B-KUL-H06A5A)

3 ECTSEnglish26 First termCannot be taken as part of an examination contract
Norton Tomas (coordinator) |  Aerts Jean-Marie |  Norton Tomas
POC Bio-ingenieurswetenschappen

The first objective is to give an overview of the state of the art in technology and principles that allow to measure the dynamic responses of living organisms (humans, animals, plants). The integration of these responses is possible when these responses can be measured in a continuous on-line way. The course gives an overview of the principles to demonstrate that many sensors and techniques are available to measure on-line  biological responses from humans, animals and plants.
 The second step shows how to use these signals to model the dynamic behaviour of the complex individual and time varying dynamic (CITD) living organism to variations in the environment. Environment is here defined as all variables that are not genetically defined such as physics, chemical, nutrition, medication, etc.
In this second step the objective is to demonstrate how these CITD systems can be modelled in an efficient way by using on-line data based mechanistic models.
The third step wants to educate how  an objective function can be calculated to develop model based controllers for living organisms. These principles can be used to develop monitoring and control algorithms in a wide range of biological processes such as environment control in livestock houses, greenhouses and storage systems, monitoring and treatment of critical ill patients in intensive care units, on-line monitoring off animal welfare, bio-monitoring of water quality or environment quality. 

Activities

3 ects. Modelling of Biosystems: Lectures (B-KUL-I0V02a)

3 ECTSEnglishFormat: Lecture26 First term
POC Bio-ingenieurswetenschappen

Part 1 – Introduction

- Chapter 1. Introduction and examples

Part 2 - Real-time measurement of bioresponses

- Chapter 2. Advanced sensors & measurement systems.

- Chapter 3. Image processing & sound analysis

Part 3 - Digital signal processing

- Chapter 4. Introduction to linear time invariant systems

- Chapter 5. Impulse and frequency response of linear time invariant systems

- Chapter 6. The z-transform and poles/zeros of discrete time linear time invariant systems

- Chapter 7. Discrete Fourier transforms

 Part 4 - Data-based modeling of bioresponses

- Chapter 8. Introductory concepts

- Chapter 9. Generation of measurement data for data-based modeling

- Chapter 10. Time-invariant parameter estimation in the time and frequency domain

- Chapter 11. Determining model complexity

- Chapter 12. Biological interpretation of data-based models

- Chapter 13. Time-variant parameter estimation

- Chapter 14. Introduction to artificial intelligence

- Chapter 15. Machine learning and deep learning

 Part 5 - Management of biological processes

- Chapter 16. Model-based monitoring of bioresponses

- Chapter 17. Integration of bioresponses into practice

Slides, articles, copies of chapters from books and recording are available via Toledo.

Blended learning - Class recording - Traditional lecture

Evaluation

Evaluation: Bioresponse Measurements and Process Control (B-KUL-H26A5a)

Type : Exam during the examination period
Description of evaluation : Written
Type of questions : Open questions


You will be evaluated by means of a written exam, where your knowledge of the subject matter will be examined on the basis of theoretical questions and calculations.