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: 07.09.2022 - 13.12.2022
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Kai Zenger, Arto Visala
Contact information for the course (applies in this implementation):
Lecturer: Kai Zenger, Maarintie 8 (TuAs house), room 3574.
Assistant: Hoang Nguyen Khac, room 3571.
The lecturer and assistant are available after teaching sessions and also whenever they are present. Email contact is always possible. Meeting can be agreed by email as well. Remote meetings can also be arranged, if necessary.
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:
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
•Classical control theory: SISO-systems, linear or linearized system models•Extension to multivariable (MIMO) systems•Performance and limitations of control•Uncertainty and robustness,•IMC-control,•LQ and LQG control•Optimal control•Introduction to Model Predictive Control
Assessment Methods and Criteria
valid for whole curriculum period:
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. 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.
Workload
valid for whole curriculum period:
Lectures, Exercise hours, Self-study, Homework assignments
Contact hours: 48h
Independent study: 85h
DETAILS
Study Material
applies in this implementation
Textbook: Glad, Ljung: Control Theory, (multivariable and nonlinear methods), Taylor and Francis, 2000.
Lecture slides, exercises with solutions, homework with solutions.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Autumn I - II
2023-2024 Autumn I - IIEnrollment :
Registration takes place in Sisu (sisu.aalto.fi).
Details on the schedule
applies in this implementation
Both lectures and exercise sessions are in classroom. No recordings are arranged. Exception: The first lecture (Wednesday 7.9 ) is pre-recorded, because the lecturer is absent.
- Opettaja: Visala Arto
- Opettaja: Zenger Kai