course-details-portlet

TTK4215 - Adaptive Control

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

The course gives and introduction to methods for adaptation and learning in control of dynamic systems with uncertain parameters. On-line parameter estimation: On-line parameter estimation: gradient methods and least squares methods in continuous and discrete time. Parameter estimation with projection. Extremum seeking methods. Direct and indirect adaptive control: pole placement control (PPC), adaptive pole placement control (APPC), model reference control (MRC), model reference adaptive control (MRAC), adaptive backstepping with tuning functions. Machine learning methods: neuroadaptive control and reinforcement learning control.

Learning outcome

Knowledge: The student should posess: - detailed knowledge of on-line parameter estimation and the development and properties of the various methods. - detailed knowledge of adaptive and learning control systems and their development and properties. - detailed knowledge of methods and tools for stability analysis of adaptive and learning systems. Skills: The student should independently be able to: - apply methods for on-line parameter estimation. - develop adaptive and learning control systems. - analyze a problem and select an appropriate method. - analyze existing methods with respect to stability. General skills: The student should be able to: - communicate technical issues with both experts and laymen. - communicate independent work in writing. - contribute to creative processes.

Learning methods and activities

Lectures and compulsory homework assignments.

Compulsory assignments

  • Exercises

Further on evaluation

A final written exam is the basis for the final grade in the subject (letter grade). The compulsory activities must be approved to be eligible for the exam. If there is a re-sit examination, the examination form may change from written to oral.

Specific conditions

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

Course materials

To be announced.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2022

Language of instruction: -

Location: Trondheim

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

Department with academic responsibility
Department of Engineering Cybernetics

Timetable

List view
Calendar view

Examination

Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD School exam 100/100 D 2022-12-15 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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