Adaptive and Predictive Control

2019/2020

Prerequisite/Recommended prerequisite for participation in the module

The module is based on knowledge achieved in Control theory and Digital and modern control.

Content, progress and pedagogy of the module

Learning objectives

Knowledge

  • Have knowledge and understanding within adaptive control techniques, such as gain scheduling, self-tuning regulators, and model reference adaptive control
  • Have knowledge about principles and standard schemes of model predictive control techniques
  • Have knowledge about formulating the model predictive control for a given system considering cost functions and constraints

Skills

  • Be able to use model-based adaptive control and model predictive control, which can act as efficient control design methods for control systems
  • Be able to analyse the dynamic behaviour of an adaptive control and model predictive control system
  • Be able to investigate stability of an adaptive or model predictive control system
  • Be able to implement model predictive control using relevant optimization software
  • Be able to design and simulate adaptive and predictive controllers and make judgment of the benefits and drawbacks of the used techniques

Competences

  • Be equipped with fundamental knowledge and basic skills in the areas of adaptive and predictive control
  • Be able to define and analyse scientific problems within the area of adaptive and predictivecontrol
  • Be able to select proper adaptive and predictivecontrolmethods and apply the selected methods into reallife applications
  • Be able to be a part of professional and interdisciplinary development work within the area of adaptive and predictive control

Type of instruction

The course is taught by a mixture of lectures, workshops, exercises, mini-projects or self-studies.

Extent and expected workload

Since it is a 5 ECTS course module, the work load is expected to be 150 hours for the student

Exam

Exams

Name of examAdaptive and Predictive Control
Type of exam
Oral exam
ECTS5
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentAs stated in the Joint Programme Regulations.
http:/​/​www.engineering.aau.dk/​uddannelse/​studieadministration/​

Facts about the module

Danish titleAdaptive og prediktiv styring
Module codeN-APEL-K3-4
Module typeCourse
Duration1 semester
SemesterAutumn
ECTS5
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Esbjerg
Responsible for the module

Organisation

Study BoardStudy Board of Energy
DepartmentDepartment of Energy Technology
FacultyFaculty of Engineering and Science