course-details-portlet

TTK4115 - Linear System Theory

About

Examination arrangement

Examination arrangement: School exam
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours D

Course content

Theory for linear multivariable systems, state space models, discretization, canonical forms and realizations, stability, controllability and observability, state feedback, LQR optimal control, state estimation, the Kalman filter, descriptions of stochastic processes and random signals.

Learning outcome

Knowledge: Detailed knowledge about state space representation of linear time invariant systems in continuous and discrete time. Knowledge about representation and characterization of random signals in linear systems. Detailed knowledge about fundamental concepts like controllability, observability and stability for linear multivariable systems. Substantial knowledge about methods for construction of multivariable controllers for linear systems, and algorithms and methods for state estimation. Use of state estimation for feedback in linear control systems. Knowledge of linearization of nonlinear systems.

Skills: Being able to formulate specifications and dynamic models as a basis for design of linear control systems and state estimators under influence of noise and disturbances. Being able to transform models between continuous and discrete time, and between state space and transfer function matrix representations. Being able to design and tune parameters of controllers with LQR and pole placement. Being able to design and tune parameters of observers and Kalman filters. Being able to apply linear algebra and Matlab for analysis and design of linear control systems. Being able to apply Simulink for rapid prototyping and experimental testing of control systems.

General competence: Understand strengths and limitations of theoretical analysis versus experimental testing. Good system understanding, i.e. how sub-systems consisting of hardware, software, physical systems and humans interact. Have a solid basis for advanced studies in control engineering.

Learning methods and activities

Lectures, a compulsory project, compulsory assignments.

Compulsory assignments

  • Assignments

Further on evaluation

A written exam is the basis for the final grade in the course. To qualify for the exam, the laboratory project and 4 out of 6 written assignments must have been approved. The requirements for approval of the laboratory project will be described at the start-up of the course. If there is a re-sit examination, the examination form may change from written to oral. In the case that the student receives an F/Fail as a final grade after both ordinary and re-sit exam, then the student must retake the course in its entirety.

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Course materials

Information will be given when the course starts.

Primary material is from:

  • Chi-Tsong Chen. Linear system theory and design. Oxford University Press, New York, 4th international edition, 2014.
  • Robert Brown. Introduction to random signals and applied Kalman filtering : with MATLAB exercises. John Wiley & Sons, Inc., Hoboken, NJ, 4th edition, 2012.

Credit reductions

Course code Reduction From To
SIE3015 7.5
More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Third-year courses, level III

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2022

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Technological subjects
Contact information
Course coordinator:

Department with academic responsibility
Department of Engineering Cybernetics

Examination

Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD School exam 100/100 D 2022-12-12 15:00 INSPERA
Room Building Number of candidates
Summer UTS School exam 100/100 D INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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