Study Guide

Objective

Understanding of process systems is a central part of industrial automation. Dynamical systems are described through modeling and identification. The course aims at introducing different modeling techniques to the students to achieve a common platform of knowledge. The student will learn how to recognize, analyze, and describe different dynamic systems and to construct models, both model- and data driven ones, of systems and assess their quality and performance.

Knowledge and understanding
After completing the course, the student should be able to:
- recognize and describe common dynamic process systems
- explain the difference between various systems
- describe the practical usage of some process models

Skills and abilities
After completing the course, the student should be able to:
- create and simulate process models
- experiment with different process models
- perform basic identification of processes

Evaluation ability and approach
After completing the course, the student should be able to:
- justify the choice of a process model
- evaluate and report on the choice of a model

Content

The contents of the course are concept and principles of dynamic systems, system modeling and simulation, techniques for system identification and optimization.

Materials

The study material will be provided by the lecturer.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Grade 1: Satisfactory skills in systems thinking, modeling, identification, and optimization.

Assessment criteria, good (3)

Grade 3: Good skills in systems thinking, modeling, identification, and optimization.

Assessment criteria, excellent (5)

Grade 5: Excellent skills in systems thinking, modeling identification, and optimization.

Qualifications

No prerequisites.