Schedule: 13.09.2019 - 11.12.2019
Contact information for the course (applies in this implementation):
The students can contact Themistoklis Charalambous on Wednesdays, from 16:00 to 18:00 in Room 2561 (2nd floor), TUAS Building.
Office hours for the Teaching Assistants will be announced later.
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: -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.
Content (valid 01.08.2018-31.07.2020):
-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 01.08.2018-31.07.2020):
Teaching methods: Lectures, Exercises, Quizzes, Homework problems, Project assignment.
Grading: Quizzes, Home assignments, Project assignment, Final exam.
Elaboration of the evaluation criteria and methods, and acquainting students with the evaluation (applies in this implementation):
Homework:5 homework sheets - 3p per homework
Quiz: 10 quizzes (online available 24h before the lecture) - 0.5p per quiz
Project: 3 lab reports (Lab A: 10p, Lab B: 10p and Lab C: 10p)
Exam: 3-hour exam on December 11, 14:00-17:00 in AS2, TUAS Building
Feedback: At the end of the course, the university asks for your feedback - bonus points to those who provide feedback
The sum of all scores will decide the grade according to the following table:
Workload (valid 01.08.2018-31.07.2020):
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
Course Homepage (valid 01.08.2018-31.07.2020):
Prerequisites (valid 01.08.2018-31.07.2020):
Basic course in Automation and Control Engineering. The course Control Engineering (earlier: Analog Control) or equivalent. Programming skills in Matlab/Simulink.
Grading Scale (valid 01.08.2018-31.07.2020):
Further Information (valid 01.08.2018-31.07.2020):
language class 3: English