Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), 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 main analysis and synthesis methods to be systematically used in the control of multivariable processes, formulate a well-defined control problem for multivariable processes, choose and implement a suitable solution (method and algorithms) to the control problem, evaluate the performance of the solution, understand the fundamental restrictions in control.

Credits: 5

Schedule: 09.09.2020 - 15.12.2020

Teacher in charge (valid 01.08.2020-31.07.2022): Arto Visala, Kai Zenger, Kai Zenger

Teacher in charge (applies in this implementation): Arto Visala, Kai Zenger, Kai Zenger

Contact information for the course (valid 28.08.2020-21.12.2112):

Lecturer and responsible teacher: Kai
Zenger, TuAs
3574,  kai.zenger(at)aalto.fi

Course assistant: Nguyen
Khac Hoang, TuAs,
3571, hoang.kh.nguyen(at)aalto.fi



CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • Valid 01.08.2020-31.07.2022:

    Basic model types of multivariable linear systems. Structural properties of multivariable systems. Canonical control configurations. Analysis of the closed-loop system by sensitivity functions. Fundamental restrictions in control. Relative gain array analysis and decoupling compensators.  Dynamic programming and linear quadratic control.  Loop shaping techniques. Introduction to model predictive control

  • Applies in this implementation:

    An advanced control course, where the pre-requisite for successful studies is that the student has earlier completed one or two basic control courses.  

    Ideas and concepts in the formal analysis and synthesis of control problems.  Basics in multivariable control, dynamic programming and linear quadratic optimal controllers.

Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    Two intermediate exams or full exam, homework assignments, which are assessed

  • Applies in this implementation:

    •Two
    intermediate
    exams
    or
    one
    full
    exam
    are
    needed
    to pass
    the course.  The intermediate exams have 3 problems each, max
    15+15 = 30 points.  The full exam has five problems, max. 30 points altogether.  You can attend in all exams if you wish.  Then the best of intermediate exam 1+intermediate exam 2 or full exam is counted.

    •Six
    homework
    problems
    are
    given
    during the course.
    You
    must
    do
    and leave
    for evaluation
    at least
    three
    homework
    problems.  However,
    to get more homework points it
    is reasonable to do as many homework exercises as possible, preferably them all.  The homework results are scaled to give a maximum of 6
    points to be added to
    the exam result.    The final grade is determined based on
    the sum of two intermediate exams (or full exam) and
    the homework points. The grade evaluation is done based on
    0-36 points.  18 points is always enough to
    pass.

Workload
  • Valid 01.08.2020-31.07.2022:

    Lectures, Exercise hours, Self-study, Homework assignments

    Contact hours: 48h
    Independent study: 85h

  • Applies in this implementation:

    Lectures 2 hours/week.  

    Exercises 2 hours /week.

    The remaining study hours are for independent study and doing the homework problems.

DETAILS

Study Material
  • Valid 01.08.2020-31.07.2022:

    Glad, Ljung: Control Theory, Multivariable and Nonlinear Methods (Taylor and Francis 2000). Lecture slides, Exercises with solutions.

  • Applies in this implementation:

    Books
    (related
    to course
    topics)
    :

    Course textbook is 1. below.  It covers much but not all of the course content.  The other books in addition to 1 cover all and much more than studied during the course.  They are for reference for scientifically oriented students.  Material in the textbook 1, lecture slides, lecture contents, exercises with solutions, homework with solutions is well enough to pass the course with excellent grade..  Note that during the lectures material is presented, which is not included in textbook 1.  This material is part of the course content however.  (The students are assumed to take notes.)

    1.
    Glad,
    Ljung:  Control Theory, (multivariable
    and

        nonlinear
    methods), Taylor and Francis, 2000. 

    2.
    Skogestad,
    Postlethwaite:
    Multivariable
    Feedback Control,

        (Analysis and Design), Wiley,
    2005.

    3.
    Kirk: Optimal
    Control Theory,
    An Introduction,
    Dover, 2004.

    Optional:
    Material
    on model
    predictive
    control
    (MPC)


Substitutes for Courses
  • Valid 01.08.2020-31.07.2022:

    Replaces the course AS-74.3123.

Prerequisites
  • Valid 01.08.2020-31.07.2022:

    Basic course of continuous time control systems. Fundamentals of digital control. Use of Matlab/Simulink.

Registration for Courses
  • Valid 01.08.2020-31.07.2022:

    Registration in WebOodi is mandatory

  • Applies in this implementation:

    During fall 2020 the teaching and learning is remote.  The instructions from the university are followed continuously.

FURTHER INFORMATION

Details on the schedule
  • Applies in this implementation:

    MyCourses is the platform for the materials and time-tables etc.  

    The lectures are on Wednesdays 14:15-16:00.  Course starts 9th of September 2020.  The first exercise is on Thursday, 10th of September 14:15-16.

Description

Registration and further information