Generalized optimal control

Course: Applied Mathematics

Structural unit: Faculty of Computer Science and Cybernetics

Title
Generalized optimal control
Code
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
7 Semester
Number of ECTS credits allocated
1
Learning outcomes
LO 10. Be able to choose methods and algorithms rationally for solving optimization problems, operations research, optimal control and decision-making, data analysis. PLO 23.1. Be able to use professional knowledge, skills and abilities in the field of computational mathematics and computer science to model real processes of different nature.
Form of study
Distance form
Prerequisites and co-requisites
1. Know the basics of: ● real analysis (in particular, sequences, limits, differential calculus, Riemann’s integral, functional series, inverse and implicit functions), ● linear algebra (in particular, linear spaces, linear operators, and quadratic forms), ● differential equations (in particular, first-order ODEs, higher-order ODEs, and systems of ODEs), ● probability theory (in particular, absolutely continuous probability distributions), ● functional analysis (in particular, metric spaces, fixed-point theorem, normed spaces, linear functionals and operators, and Hilbert spaces). 2. Be able to solve problems in real analysis, linear algebra, differential equations, probability theory and functional analysis.
Course content
The aim of the discipline "Generalized Optimal Control" is to acquaint students with the basic concepts and provisions of the theory of extreme problems, typical examples of its applications, theorems of weak solvability of partial differential equations on which generalized optimal control problems are based; mastering the basic methods of solving certain classes of problems of variational calculus and optimal control and modern methods of deriving models of mathematical physics. The subject of the discipline "Generalized optimal control" are problems of classical variational calculus and problems of optimal control, examples of application of this theory in models of applied mathematics.
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
Lectures, recommended literature processing
Assessment methods and criteria
- Intermediate assessment: 1. Test work no. 1: LO 1.1., LO 1.2, LO 2.1, LO 2.2, LO 2.3 ‒ 30 points/18 points. 2. Test work no. 2: LO 1.3, LO 1.4, LO 2.4, LO 2.5, LO 2.6 ‒ 30 points/18 points. The work in the semester consists of 2 parts. Each part ends with a test with a maximum score of 30 points. - Final assessment: ● is held in the form of an exam – 40 points; ● The results of study to be assessed are: LO 1.1, LO 1.2, LO 1.3, LO 1.4, LO 2.1, LO 2.2, LO LO, LO 2.4, LO 2.5 and LO 2.6; ● The form of exam: written; ● The types of assignments are 2 theoretical questions and 2 exercises.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Departments

The following departments are involved in teaching the above discipline