Intelligent Control Systems

Major: Automated Control of Technological Processes
Code of subject: 7.151.01.O.1
Credits: 3.00
Department: Automation and Computer-Integrated Technologies
Lecturer: Roman Vitalii Ivanovych, assistant professor, candidate of technical sciences
Semester: 1 семестр
Mode of study: денна
Learning outcomes: 1. Assimilation of methods of realization of artificial intelligence and models of knowledge representation 2. Assimilation of the principles of organization of intellectual management and its hierarchical structure 3. Thorough mastery of methods for building intelligent control systems using fuzzy logic 4. Assimilation of general principles of construction of fuzzy algorithms and regulators for control systems of dynamic objects 5. Mastering the methods of building intelligent control systems using neural networks, fuzzy cognitive maps and genetic algorithms 6. Use specialized MATLAB toolboxes (Fuzzy Logic Toolbox, Neural Networks Toolbox and Genetic Algorithm and Direct Search Toolbox) to get acquainted with the principles of intelligent control
Required prior and related subjects: 1. Methods of modern control theory 2. Modeling and optimization of control systems 3. Integration technologies in automated control systems
Summary of the subject: The concept of artificial intelligence. The idea of intelligent control. Hierarchical organization of intelligent control systems (ICS). ICS based on fuzzy logic. ICS based on neural networks. ICS based on fuzzy cognitive maps. ICS based on genetic algorithms
Assessment methods and criteria: - written reports on laboratory works, oral questioning (30 %) - final control (control measure - exam): written and oral form (70 %)
Recommended books: 1. Vasiliev V.I., Ilyasov B.G. Intelligent systems and controls. Theory and practice: textbook. - M.: Radiotekhnika, 2009. – 392 p. (Russian) 2. Sementsov G.N., Golovata Yu.B. Intelligent process control systems: a textbook. - Ivano-Frankivsk: IFNTUNG, 2012. – 173 p. (Ukrainian) 3. Gostev V.I. Fuzzy controllers in automatic control systems. - K .: "Radioamator", 2008. – 972 p. (Russian) 4. Uskov A.A., Kruglov V.V. Intelligent control systems based on fuzzy logic methods. - Smolensk: Smolensk city printing house, 2003. – 177 p. (Russian) 5. Schalkoff R. J. Artificial Neural Networks. - McGraw-Hill, New York, 2002. – 422 p. 6. Badiru A.B., Cheung J.Y. Fuzzy Engineering Expert Systems with Neural Network Applications. - John Wiley, New York, NY, 2002. – 313 p.