638-0718/02 – Modern Control Methods (MMŘ)
Gurantor department | Department of Automation and Computing in Industry | Credits | 7 |
Subject guarantor | doc. Ing. Jiří David, Ph.D. | Subject version guarantor | doc. Ing. Jiří David, Ph.D. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 3 | Semester | winter |
| | Study language | Czech |
Year of introduction | 2004/2005 | Year of cancellation | 2007/2008 |
Intended for the faculties | FMT | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
Student will be able to formulate and suggest the solution with utilization the instruments artificial inteligence.
Student will be able to create the knowledge base for the intelligent controller.
Student will be able to analyze the problems technical application in field the engineering cybernetics with utilization the instruments artificial inteligence.
Student will be able to formulate and suggest the solution problems with utilization Matlab toolboxs Fuzzy Logic, Neural Network and Genetic Algorithm
Teaching methods
Lectures
Individual consultations
Tutorials
Summary
Subjekt put mind to the questions artificial inteligence. Students do one's homework the control models on platform the artificial inteligence (qualitative and semi-qualitative models, fuzzy models, the knowledge-based system and models of neural network).
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Řízení jako informační působení, činnost a proces.
2. Vymezení teorie modelování a umělé inteligence.
3. Kvalitativní modely.
4. Semikvalitativní modely.
5. Fuzzy modely, úvod do fuzzy modelů.
6. Fuzzy množinová teorie.
7. Více hodnotová logika a jazykové modely.
8. Fuzzy systémy
9. Strategie fuzzifikace, strategie defuzzifikace.
10. Expertní systémy, definice a architektura expertního systému.
11. Znalostní báze, inferenční mechanismus, interpretace odpovědí expertních
systémů.
12. Expertní systémy a řízení.
13. Úvod do neuronových systémů.
14. Neuronové sítě.
15. Genetické algoritmy
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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