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Multivariable control

Individual course

Content:

The basics of

  • description and analysis of dynamic systems, including control systems, in continuous and discrete time using state-space methods
  • digital control
  • control of multivariable systems

After passing the course, the student is expected to

  • understand basic concepts and definitions concerning state-space models
  • be able to determine a linear state-space model from another system description (e.g. nonlinear differential equation)
  • understand the relationship between a state-space model and a transfer function
  • be able to analyse important system properties (e.g. stability, observability, controllability) of a state-space model
  • be able to determine control laws based on state feedback to satisfy given specifications (e.g. pole placement)
  • understand how a discrete-time state-space model is determined from a continuous-time state-space model
  • understand important concepts of discrete-time models and control laws (e.g. aliasing, ringing)
  • know methods for design of multivariable control systems (e.g. decentralised control, model predictive control)

General skills:

  • report writing
  • use of Matlab for calculations and graphical plots
  • use of Simulink for simulation of dynamic systems

More information in Åbo Akademi’s study guide.

Responsible teacher

Åbo Akademi
Jari Böling
jari.boling(at)abo.fi

Contact person for applications

FITech
Pilvi Lempiäinen , Head of study services
pilvi.lempiainen(at)fitech.io
Start here
Start here
Category:
Technical studies
Topic:
Industrial engineering and management
Course code:
RT00BR32
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
Fall 2021
Application deadline:
Application dates will be announced later
Host university:
Åbo Akademi University
Study is open for:
Adult learner,
Degree student
Teaching methods:
Contact
Place of contact learning:
Turku
Language:
English
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