ELEC-E8101 - Digital and Optimal Control D, Lecture, 8.9.2023-5.12.2023

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Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

After completing the course the student: -understands the principles of discrete-time modeling and computer control. -understands the common ideas and differences between analog and digital control. -can design, simulate and implement discrete-time controllers (for example discretized PID or state feedback controllers). -understands the Principle of Optimality. -understands the ideas behind optimal controllers, specifically LQ control. -can design and implement LQ controllers.

Credits: 5

Schedule: 08.09.2023 - 05.12.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Dominik Baumann, Ville Kyrki

Contact information for the course (applies in this implementation):

Lecturer:  

Dominik Baumann, Maarintie 8 (TuAs building), room 2569.  

Assistants:

Abdullah Tokmak, Qingyun Guo, MingLi Ma


CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    -Principles of computer control. -Discrete-time modelling, the z-transform, solving difference equations. -Discretization of continuous time dynamical systems. -Basic characteristics of discrete time systems. -Controller design and performance analysis in discrete time. -Discrete-time PID controllers. -Basics in optimal control theory. -Dynamic programming. -Linear quadratic (LQ) control.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Teaching methods: Lectures, Exercises, Quizzes, Homework problems, Project assignment.
    Grading: Quizzes, Home assignments, Project assignment, Final exam.

  • applies in this implementation

    12 Quizz problems related to each lecture, 6 homework problems, 2 intermediate exams.  The course is evaluated so that the weights of Quizzes, homework problems and exams are 20%, 40% and 40%, respectively.

    Two intermediate exams, no full exam.  Afterwards, full exams ("Rästitentti") are arranged; their weight is equal to the sum of two intermediate exams.

    Grading:  (Calculated from achievements with weights):

    48%: 1, 60%: 2, 70%: 3, 80%: 4, 90%:5

    Note: In autumn 2023 the course does not have a special project assignment.


Workload

  • valid for whole curriculum period:

    Lectures 24 + Self-study after lectures 24 + Exercise sessions 24 + Solving exercise/homework tasks 24 + Project assignment 16 + Exam preparation 20 + Exam 3 = total 135.

    Contact hours: 48 h
    Independent study: 87 h

DETAILS

Study Material

  • applies in this implementation

    Textbook: Åström K. J., Wittenmark B.: Computer Controlled Systems  - Theory and Design (3rd ed.), Prentice-Hall, 1997.

    Lecture notes, exercises with solutions, homework with solutions.

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn I - II
    2023-2024 Autumn I - II

    Enrollment :

    Registration takes place in Sisu (sisu.aalto.fi).

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof