In agreement with so called "Dublin descriptors" qualifications that indicate completion of the results are awarded to students who: - have demonstrated knowledge and understanding in analysis of linear systems and control theory (knowledge and understanding); - can apply their knowledge and understanding in order to design a feedback controller for linear time-invariant systems starting from a set of requirements (applying knowledge and understanding); - have the ability interpret the effectiveness of a designed control system and the capability to change the control strategy in order to improve the results (making judgements) ; - can communicate information, problems and solutions related to the analysis of linear systems and design of feedback controllers to both specialist and non-specialist audiences (communication skills); - have developed those learning skills that are necessary for them to continue to undertake further study with a high degree of autonomy (learning skills).
Linear Algebra, System Theory
An introductory course on control systems providing the students with the basic engineering knowledge of dynamic systems and feedback. After the course the student should be able to describe and explain how feedback mechanisms affect system properties such as stability, speed of response, precision, sensitivity and robustness. Furthermore, the student should be able to analyse and design feedback systems with respect to these properties.
COURSE CONTENTS: Representation of dynamic systems as a set of differential equation. State space model for linear system. Laplace transform. Transfer functions. Analysis of feedback control systems: Stability. Nichols, Nyquist and Bode diagrams. Speed of response. Robustness and sensitivity. Synthesis of simple control systems: Specifications. PID-controllers
D. G. Luenberger, Introduction to Dynamic Systems: Theory, Models, and Applications, John Wiley & Sons
written and oral esam