FPF:UFPF531 Programming of autonomous syst - Course Information
UFPF531 Programming of autonomous systems applications
Faculty of Philosophy and Science in OpavaWinter 2017
- Extent and Intensity
- 2/2/0. 6 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Ing. Jaroslav Zeman (lecturer)
Ing. Jaroslav Zeman (seminar tutor) - Guaranteed by
- Ing. Jaroslav Zeman
Centrum interdisciplinárních studií – Faculty of Philosophy and Science in Opava - Prerequisites
- General knowledge of programming.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Computational Physics (programme FPF, N1701 Fyz)
- Course objectives
- The aim of the course is to make the students acquainted with the basics of the using FPGA, language VHDL and small computers systems.
- Syllabus
- 1. The control structure of robots, their classification, specifications and basic features. Fundamental approaches to the design of control structures, robots and analysis. Non adaptive and adaptive control algorithms and their implementation and testing.
2. Scanning environment variables, control of active elements of the robot. Implementation of interface between the sensors, control system and control of the robot.
3. Control structures in multiprocessor systems based on standard of interpretation and compilation of programming languages.
4. Control structures based on FPGA and digital signal processors using FPGA. The direct implementation of control algorithms using language VHDL or VERILOG.
5. Practical introduction to the development environment for programming, testing and analysis for the realization of autonomous systems.
- 1. The control structure of robots, their classification, specifications and basic features. Fundamental approaches to the design of control structures, robots and analysis. Non adaptive and adaptive control algorithms and their implementation and testing.
- Literature
- recommended literature
- Jura, P. Základy fuzzy logiky pro řízení a modelování. VUT Brno, 2003. info
- Thomas Donald E., Philip R. Moorby. The Verilog hardware description language. New York, 2002. ISBN 1402070896. info
- Novák, Mirko. Umělé neuronové sítě: teorie a aplikace. Praha, 1998. ISBN 8071791326. info
- Teaching methods
- Interactive lecture
Lecture supplemented with a discussion - Assessment methods
- Grade
Credit - Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
- Teacher's information
- To obtain the credit, students must hand in a semester project. The semester project consists of a program created by students on a theme obtained after a consultation with the lecturer, by the midway through the teaching period. The program must be a functional unit which will be error free and will perform on the theme. The exam consists of a consultation on the semester project. The evaluation of the project will focus on the overall completion, namely: the reliability of the created program, used algorithm, student's personal contribution towards the work on the theme, possibilities of further development of the program and also students' understanding of the issues and the acquired knowledge during the course.
- Enrolment Statistics (Winter 2017, recent)
- Permalink: https://is.slu.cz/course/fpf/winter2017/UFPF531