Credits: 5

Schedule: 03.01.2017 - 28.03.2017

Teaching Period (valid 01.08.2018-31.07.2020): 

I-II (autumn) 2018-2019

I-II (autumn) 2019-2020

Learning Outcomes (valid 01.08.2018-31.07.2020): 

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.

Content (valid 01.08.2018-31.07.2020): 

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

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

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

Workload (valid 01.08.2018-31.07.2020): 

Lectures, Exercise hours, Self-study, Homework assignments

Contact hours: 48h
Independent study: 85h

Study Material (valid 01.08.2018-31.07.2020): 

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

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

Replaces the course AS-74.3123.

Prerequisites (valid 01.08.2018-31.07.2020): 

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

Grading Scale (valid 01.08.2018-31.07.2020): 


Registration for Courses (valid 01.08.2018-31.07.2020): 

Registration in WebOodi is mandatory

Further Information (valid 01.08.2018-31.07.2020): 

language class 3: English