455-0908/01 – Artificial Intelligence Information and Control Systems (ŘISUI)
| Gurantor department | Department of Measurement and Control | Credits | 10 |
| Subject guarantor | prof. Dr. Ing. Miroslav Pokorný | Subject version guarantor | prof. Dr. Ing. Miroslav Pokorný |
| Study level | postgraduate | Requirement | Choice-compulsory |
| Year | | Semester | winter + summer |
| | Study language | Czech |
| Year of introduction | 1995/1996 | Year of cancellation | 2009/2010 |
| Intended for the faculties | FEI | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
The aim of the course is to acquaint students with fuzzy expert systems and fuzzy controllers including its design metodology according to their doctoral thesis theme.
Students will be ready for design, development and practical appication of fuzzy oriented expert systems and fuzzy controllers.
Teaching methods
Lectures
Individual consultations
Summary
Subject is dedicated to doctoral students having their doctoral work theme focused on artificial intelligent method in information or control systems. The following topics are discused: probability systems, fuzzy systems, neural network, genetic algorithms, soft computing systems. The course subject can be prepared individually according to student´s doctoral thesis theme.
Compulsory literature:
Mařík,V. a kol.: Umělá inteligence, ACADEMIA Praha, 1993
Sedláček,V.: Umělá inteligence I, skripta, UJEP, Fakulta přírodovědecká, Brno, 1987
Vondrák,I.: Umělá inteligence, skripta, UP Olomouc, 1990
Zbořil,F.: Umělá inteligence, skripta, VUT Brno, Fakulta elektrotechnická, 1990
Pokorný,M.: Umělá inteligence v modelování a řízení, BEN Praha, 1996
Pokorný,M.: Řídicí systémy se znalostní bází, skripta, VŠB TU Ostrava, FEI, 1995
Vysoký,P.: Fuzzy řízení, skripta ČVU FEL Praha, 1996
Kubík,S. a kol.: Teorie automatického řízení II, TKI, Praha 1982
Osowski,S.: Neuronové sítě, polsky, OWP, Varšava, 1994
Goldberg,D.: Genetic Algorithms in Search, Optimization And Machine Learning, Addison-Wesley, 1989
Novák,V.: Základy fuzzy modelování, BEN Praha, 2000
Novák,V., Perfilieva,I., Močkoř,J.: Mathematical Principles of Fuzzy Logic, Kluwer, Boston, 1999
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
Monitoring the performance of given tasks within the regular consultations
E-learning
Other requirements
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
Complex system modelling principles knowledge approaches.
Extending of fuzzy sets theory
Uncertainty and its fuzzy representation
Extending of multivalues fuzzy linguistic logic
Fuzzy linguistic models, analysis of Mamdani and Takagi-Sugeno fuzzy rules oriented models
Extending of aproximative reasoning, inference algorithms
Fuzzy expert systems, design methodology, application
Rule base cognitive analysis
Fuzzy control, design methodology, application
Fuzzy controller properties and stability
Intelligent knowledge controllers, architecture and properties
Neural networks in control systems
Genetic algorithms in control systems
Integration of artificial intelligence principles, soft computing
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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