course-details-portlet

TTK4215 - Adaptive Control

About

Examination arrangement

Examination arrangement: Home exam
Grade: Passed / Not Passed

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

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.

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 2021

Language of instruction: -

Location: Trondheim

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

Department with academic responsibility
Department of Engineering Cybernetics

Examination

Examination arrangement: Home exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Home exam (1) 100/100

Release
2022-01-17

Submission
2022-01-17


09:00


13:00

INSPERA
Room Building Number of candidates
Summer UTS Home exam 100/100 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.
  • 1) Merk at eksamensform og karakterregel er endret som et smittevernstiltak i den pågående koronasituasjonen.
Examination

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

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