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FEL3330 Networked and Multi-Agent Control Systems 7.5 credits

Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus FEL3330 (Autumn 2019–)
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

Literature and preparations

Specific prerequisites

No information inserted

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

Grading scale

P, F

Examination

  • 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.

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

Other requirements for final grade

Passing Grade on homeworks, presentation and exam.

Examiner

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 room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Education cycle

Third cycle

Postgraduate course

Postgraduate courses at EECS/Decision and Control Systems