ØASØK3000 International Economics Emneplan

No formal requirements over and above the admission requirements.

It is assumed that students have completed introductory courses in Microeconomics and Macroeconomics.

Upon successful completion of the course, the student:

Knowledge

Upon successful completion of the course, the student should have:

• advanced knowledge in dynamic modeling for industrial applications
• knowledge on how to evaluate suitability of different model structures and choose appropriate model for chosen industrial application
• knowledge in state estimation techniques for linear systems
• advanced knowledge in control strategy development
• knowledge on how to evaluate different model-based control algorithms for multivariate systems
• knowledge on how to select and argue for suitable combination of model-based control algorithms for a chosen industrial application.

Skills

Upon successful completion of the course, the student can:

• apply systematic approach to develop nonlinear and linear dynamic models for chosen industrial application.
• apply data-driven modelling methods to obtain dynamic models for a chosen industrial application.
• implement, test, compare and validate nonlinear and linear dynamic models in simulation environment.
• implement, test and validate linear techniques for state estimation in simulation environment
• implement, test, compare and validate model-based control algorithms for multivariate systems in simulation environment.

General competence

Upon successful completion of the course, the student can:

• develop, implement, test and validate control strategies for multivariate system using different model-based control and estimation methods.

The following coursework must be approved before the student can take the exam:

Four assignments in groups of 1-3 students (1000 - 2000 words per assignment)

All aids (a computer with MATLAB and Simulink included) are permitted, provided the rules for plagiarism and source referencing are complied with.

No coursework requirements or compulsory activities.

The exam in the course is a supervised exam of 4 hours.

Two internal examiners. External examiner is used periodically.

Professor Tiina Komulainen

Basic course in control theory, linear systems and system dynamics. Basic understanding of matrix algebra, statistics, and programming using MATLAB or similar.

• Systematic approach to dynamic modeling
• Linearization of nonlinear models
• Data driven dynamic modelling (system identification)
• State estimation
• Model-based PID-tuning methods
• Multivariable control methods
• Predictive control algorithms
• Implementation, testing and validation with numerical simulation.