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Control Techniques for Bioengineering
Giuseppe Orlando

Seat Ingegneria
A.A. 2016/2017
Credits 6
Hours 48
Period II
Language ENG

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

Learning outcomes
KNOWLEDGE AND UNDERSTANDING:
The course enables students to acquire knowledge and skills on the analysis and identification of linear feedback systems, and analysis of nonlinear systems, with particular regard to models of biological systems . This knowledge will complement those already learnt in the course “Fundamentals of automatic control” of the three-year degree course, and will enable students to increase their expertise in the analysis and identification of dynamic systems , in different application contexts, thus allowing them to buy more awareness of the multidisciplinary nature of engineering .
CAPACITY TO APPLY KNOWLEDGE AND UNDERSTANDING:
This free-choice course, allows to integrate the basic control knowledge with advanced courses in mathematics and in automatic controls focused on bioengineering applications. In order to address issues of modeling and analysis of dynamical systems , linear and non linear, in several contexts of biomedical engineering, the student should possess the methodological skills to select the most appropriate class of models for a particular problem and a particular application. This ability will appear through a series of professional skills, such as: 1. the ability to detect in a given plant which inputs and outputs are the most relevant for the characterization of the plant itself ; 2. the ability to choose the most suitable technique for the identification, or modeling, according to the information known about the physical plant ; 3. the ability to appropriately evaluate the effectiveness of the selected model , both in simulation and on real data ; 4. the ability to critically analyze experimental data , and to draw conclusions , working in teams with other elements involved in the study of the problem.
TRANSVERSAL SKILLS:
The execution of an exercise to solve a problem of identification and analysis of a system, made in the classroom with the help of CAD tools like Scilab - Xcos, will help to improve both the level of the student's independent judgment , both the ability to learn independently , both the communication capacity that results from the interaction with the others .

Program
Feedback in biological systems. References on Time Invariant Linear Systems. Non-linear Systems. Negative feedback systems. Step response and frequency response identification. Parametric identification.

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, negative feedback models, and how to use them in the study and in the identification 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. Lecture notes available at: https://lms.univpm.it/course/view.phpid=388

Courses

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