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Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course FRT100F valid from Spring 2014

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General
  • English
  • If sufficient demand
Aim
  • 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.
Contents
  • 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.
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.
Types of Instruction
  • Lectures
  • Exercises
Examination Formats
  • Written assignments
  • Seminars given by participants
  • Solutions to 80% of the exercises must be handed in.
  • Failed, pass
Admission Requirements
Assumed Prior Knowledge
  • knowledge corresponding to FRTN10 Multivariable Control
Selection Criteria
Literature
  •  
  • Journal papers
Further Information
Course code
  • FRT100F
Administrative Information
  •  -03-11
  • FN1/Anders Gustafsson

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