Type of studies | Title |
---|---|
Undergraduate Academic Studies | Mechatronics (Year: 4, Semester: Winter) |
Category | Academic-general educative |
Scientific or art field | Automatic Control and System Engineering |
ECTS | 5 |
The main objective of the course is to acquire knowledge on the types of optimization methods and the possibilities for their application in solving problems in engineering systems.
The acquired knowledge can be applied in solving real engineering problems and also as a basic for further education in engineering.
Formulation of the optimization problem. Theoretical bases for static optimization. Analytical determination of extremes, functions with one or more variables without constraints. Analytical determination of extremes, functions with one or more variables with constraints, equality and inequality types. Linear programming. Contemporary optimization procedures: genetic algorithm, particle swarm optimization. Basics of calculus of variation. Optimal control. Pontryagin’s principle of maximum. Dynamic programming. Linear regulators.
Lectures, numerical and calculation practice. Computer practice. Laboratory practice. Consultations. The examination is written and oral. The written part consists of at least four parts, in order to achieve a passing grade min 50 % each task must be completed successfully. The course material can be divided into two colloquia. The oral part of the examination is based on a list of examination questions. The colloquia, tests and examination are written. The written part is eliminating. The final grade is formed on the basis of colloquia, homework assignments, written and oral part of the examination.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
2004 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Coloquium exam | No | No | 20.00 |
Practical part of the exam - tasks | No | Yes | 40.00 |
Oral part of the exam | No | Yes | 30.00 |
Homework | Yes | Yes | 30.00 |
Coloquium exam | No | No | 20.00 |
Full Professor
Assistant - Master
Assistant - Master
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