Course Details
Course Information Package
Course Unit Title | MODERN CONTROL SYSTEMS ANALYSIS | ||||||||
Course Unit Code | AEEE431 | ||||||||
Course Unit Details | |||||||||
Number of ECTS credits allocated | 5 | ||||||||
Learning Outcomes of the course unit | By the end of the course, the students should be able to:
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Mode of Delivery | Face-to-face | ||||||||
Prerequisites | AEEE345,AMAT204,AMAT223,APHY112 | Co-requisites | NONE | ||||||
Recommended optional program components | NONE | ||||||||
Course Contents | State space models of dynamic control systems: Review of matrix algebra, eigenvalues and eigenvectors. State variables. State-space equations. Linearization of non-linear systems. State space realisation of transfer functions. Canonical forms. Transformation of system models. Linear time-invariant systems: Solution of linear time-invariant state equations. state-transition matrix. Cayley-Hamilton theorem. Controllability and Observability. Liapunov Stability. Feedback Controller Design and Optimal Control: Pole placement with state feedback. State Observers. Optimal Control Design. Linear Quadratic Regulator (LQR) design. | ||||||||
Recommended and/or required reading: | |||||||||
Textbooks |
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References |
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Planned learning activities and teaching methods | Students are taught the course through lectures (3 hours per week) in classrooms or lectures theatres, by means of traditional tools or using computer demonstration. Auditory exercises, where examples regarding matter represented at the lectures, are solved and further, questions related to particular open-ended topic issues are compiled by the students and answered, during the lecture or assigned as homework. Topic notes are compiled by students, during the lecture which serve to cover the main issues under consideration and can also be downloaded from the lecturer’s webpage. Students are also advised to use the subject’s textbook or reference books for further reading and practice in solving related exercises. Tutorial problems are also submitted as homework and these are solved during lectures or privately during lecturer’s office hours. Further literature search is encouraged by assigning students to identify a specific problem related to some issue, gather relevant scientific information about how others have addressed the problem and report this information in written or orally. Students are assessed continuously and their knowledge is checked through tests with their assessment weight, date and time being set at the beginning of the semester via the course outline. Students are prepared for final exam, by revision on the matter taught, problem solving and concept testing and are also trained to be able to deal with time constraints and revision timetable. The final assessment of the students is formative and summative and is assured to comply with the subject’s expected learning outcomes and the quality of the course. | ||||||||
Assessment methods and criteria |
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Language of instruction | English | ||||||||
Work placement(s) | NO |