Non-linear Control

2019/2020

Content, progress and pedagogy of the module

Students who complete the module will obtain skills within Nonlinear Control including analysis of controllability, observability, and stabilizability and stability, along with control synthesis for non-linear systems, hybrid systems covering dynamical system with both discrete and continuous components, the optimal linear estimator - the Kalman filter - as well as non-linear estimation and sensor fusion.

Learning objectives

Knowledge

  • Lyapunov stability
  • Backstepping
  • Linear Kalman Filters and their limitations
  • The extended Kalman filterThe unscented Kalman filter
  • Particle filtering
  • Kalman filters as parameter estimators
  • The influence of (coloured) sensor and model noise on the filter estimate.
  • Must be able to understand…
  • The invariance principle
  • Feedback linearization

Skills

  • Controllability
  • Observability
  • Online estimation techniques to a given system
  • Understand and analyze systems with multiple sensors for the purpose of fusing sensor information to control-relevant information
  • Stabilizability

Competences

  • Synthesis of non-linear control systems
  • Synthesis of hybrid control systems
  • Synthesis of estimators for non-linear systems

Type of instruction

As described in § 17.

Exam

Exams

Name of examNon-linear Control
Type of exam
Written or oral exam
ECTS5
AssessmentPassed/Not Passed
Type of gradingInternal examination
Criteria of assessmentAs stated in Joint Programme Regulations

Facts about the module

Danish titleIkke-lineære kontrolsystemer
Module codeESNCAK3K2F
Module typeCourse
Duration1 semester
SemesterAutumn
ECTS5
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Electronics and IT
DepartmentDepartment of Electronic Systems
FacultyTechnical Faculty of IT and Design