Valid from: Spring 2014
Decided by: FN1/Anders Gustafsson
Date of establishment: 2014-03-11
Division: Automatic Control
Course type: Third-cycle course
Teaching language: English
Classical control theory is usually assuming that all measurements are processed together for decisions about control action. In large scale systems, such as electrical power networks and data transmission networks, this is not realistic. This course aims to teach control theory that is applicable in such situations.
Knowledge and Understanding
For a passing grade the doctoral student must know the main theoretical results of each lecture and understand the main arguments of the proofs.
Competences and Skills
For a passing grade the doctoral student must be able to use available theory and solve concrete problems in analysis and synthesis of distributed controllers
Judgement and Approach
For a passing grade the doctoral student must understand pros and cons of distributed control compared to a centralized approach.
Fixed modes, team theory, Witsenhausen’s counterexample, partial nestedness, quadratic invariance, control with information delays, dual decomposition, saddle algorithm, distributed MPC, spatially invariant systems, positive systems, consensus algorithms.
Types of instruction: Lectures, exercises
Examination formats: Written assignments, seminars given by participants.
Solutions to 80% of the exercises must be handed in.
Grading scale: Failed, pass
Assumed prior knowledge: knowledge corresponding to FRTN10 Multivariable Control