Enrolment options

ELEC-E8101 - Digital and Optimal Control D, Lecture, 2.9.2024-3.12.2024

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: -can explain the principles of discrete-time modeling and computer control. -can explain 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). -can apply the Principle of Optimality. -can design and implement optimal controllers and observers (LQR, Kalman filter, model predictive controller).

Credits: 5

Schedule: 02.09.2024 - 03.12.2024

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):

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. -Discrete-time PID controllers. -Analysis and representation of systems in the state-space -Basics in optimal control theory. -Dynamic programming. -Linear quadratic (LQ) control. -Kalman filtering -Model predictive 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, 2 mid-term exams.

Workload

  • valid for whole curriculum period:

    Lectures + Self-study after lectures + Exercise sessions + Solving exercise/homework tasks + Project assignment + Exam preparation + Exam

DETAILS

Study Material

  • valid for whole curriculum period:

    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: 2024-2025 Autumn I - II
    2025-2026 Autumn I - II

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

Aalto University Code of Academic Integrity and Handling Violations Thereof

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