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FEL3330 Networked and Multi-Agent Control Systems 7.5 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus FEL3330 (Autumn 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Introduction, Motivation, Applications, Graph Theory, Lyapunov Functions, Logistics, etc.

Consensus: static, dynamic, distributed estimation, leader-follower architectures for consensus

Communication Constraints: connectivity, connectivity maintainance, sampling, delays, packet losses, quantization, security

Dynamics: nonholonomic, double integrator, rigid body dynamics

Formation Control: distance based formations, rigidity, persistence, position based formations, formation infeasibility

Swarming-sensor networks: sensing constraints, aggregation, dispersion, coverage control, deployment, flocking

Game theoretic approach

Collision avoidance: potential fields, navigation functions

At the research frontier

Intended learning outcomes

After the course, the student should be able to:

·       know the essential theoretical tools to cope with Networked and Multi-Agent Systems

·       know the established problems and results in the area

·       develop a research project and give presentations in the area

·       contribute to the research frontier in the area

Course disposition

No information inserted

Literature and preparations

Specific prerequisites

No information inserted

Recommended prerequisites

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Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F


  • EXA1 - Examination, 7.5 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

Passing Grade on homeworks, presentation and exam.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted


Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web FEL3330

Offered by

Main field of study

This course does not belong to any Main field of study.

Education cycle

Third cycle

Add-on studies

No information inserted


Dimos Dimarogonas (

Postgraduate course

Postgraduate courses at EECS/Decision and Control Systems