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.
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.
Schedule: 11.09.2020 - 09.12.2020
Teacher in charge (valid 01.08.2020-31.07.2022): Themistoklis Charalambous, Arto Visala, Kai Zenger, Kai Zenger
Teacher in charge (applies in this implementation): Themistoklis Charalambous, Arto Visala, Kai Zenger, Kai Zenger
Contact information for the course (applies in this implementation):
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
-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
Teaching methods: Lectures, Exercises, Quizzes, Homework problems, Project assignment.
Grading: Quizzes, Home assignments, Project assignment, Final exam.
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
Basic course in Automation and Control Engineering. The course Control Engineering (earlier: Analog Control) or equivalent. Programming skills in Matlab/Simulink.