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Multivariable control

Individual course

If you are taking this course as part of a FITech minor, please note that all minors will be offered for the last time in the academic year 2021-2022. Please check the individual courses for updates regarding future availability.


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

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
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Technical studies
Industrial engineering and management
Course code:
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Host university:
Åbo Akademi University
Study is open for:
Adult learner,
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