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Control Techniques for Bioengineering
Giuseppe Orlando

Seat Ingegneria
A.A. 2015/2016
Credits 6
Hours 48
Period I
Language ENG

Prerequisites
Linear Algebra, Mathematical Analysis, Differential Equations, Laplace Transform. .

Learning outcomes
To know linear and non-linear models of control systems, with both negative and positive feedback, and to use them in the study of biological systems.

Program
Feedback in biological systems. References on Time Invariant Linear Systems. Non-linear Systems. Negative feedback systems. Positive feedback systems. Model validation using robustness analysis.

Development of the examination
LEARNING EVALUATION METHODS
The assessment of student learning consists of an oral exam, which consists of answering three of the topics covered in the course.

LEARNING EVALUATION CRITERIA
To successfully pass the assessment of learning, the student must have a competence of all the mathematical tools needed to understand the topics covered in the course. Moreover, he must know the system models studied, both linear and non-linear models, both negative and positive feedback models, and how to use them in the study of biological systems.

LEARNING MEASUREMENT CRITERIA
Each of oral questions is graded with a score between zero and ten. The overall evaluation is the sum of the three scores and is marked out of thirty.

FINAL MARK ALLOCATION CRITERIA
In order to have a positive evaluation, the student must achieve an overall score of at least eighteen, with the constraint that in each of the three oral questions the evaluation must be at least six. Full marks cum laude are given to students who have achieved the highest rating in the oral exam, and have shown a particular brilliance.

Recommended reading
C. Cosentino, D. Bates, ”Feedback Control in Systems Biology”, CRC Press, Taylor & Francis Group

Courses

• Biomedical Engineering (Corso di Laurea Magistrale (DM 270/04))