654-0901/03 – Automatic Control Theory (TAR)

Gurantor departmentDepartment of Industrial Systems ManagementCredits10
Subject guarantordoc. Ing. Milan Heger, CSc.Subject version guarantordoc. Ing. Milan Heger, CSc.
Study levelpostgraduateRequirementChoice-compulsory type B
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2022/2023Year of cancellation
Intended for the facultiesFMT, HGFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
HEG30 doc. Ing. Milan Heger, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 20+0
Part-time Examination 20+0

Subject aims expressed by acquired skills and competences

Student will be able to utilize signals from technological processes, will be able to choose among individual accesses and control methods of technological processes, will be able to design and construct hierarchical control systems, will be able to apply principles of artificial intelligence in praxis.

Teaching methods

Individual consultations
Project work

Summary

The methods of processing signals from technological processes, choices between individual approaches and methods of control of technological processes, suggestions of hierarchical control systems, applications and principles of artificial intelligence in practice are discussed.

Compulsory literature:

KUO, B. C. a M. F. GOLNARAGHI. Automatic control systems [CD-ROM]. 8th ed. Hoboken: Wiley, 2003. ISBN 0-471-13476-7. YUAN, B. a G. KLIR. Fuzzy sets and fuzzy logic: theory and applications. Upper Saddle River: Prentice Hall, 1995. ISBN 0-13-101171-5. VELONI, A. a N. MIRIDAKIS. Digital control systems: theoretical problems and simulation tools. Boca Raton: CRC Press, Taylor & Francis Group, 2018. ISBN 978-1-138-03920-9.

Recommended literature:

DORF, R. C. a R. H. BISHOP. Modern control systems. 12th ed., international ed. Upper Saddle River: Pearson, 2011. ISBN 978-0-13-138310-4.

Way of continuous check of knowledge in the course of semester

E-learning

Other requirements

Development of the project on a topic related to the dissertation.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Signal processing and filtering. 2. Passive and active analog filters. 3. Digital filters. 4. Reciprocal conversion between analog and digital signals. A / D and D / A converters. 5. Special methods of linear univariable and multivariable continuous and discrete systems. 6. Nonlinear control systems. 7. Extremal control systems. 8. Adaptive control systems. 9. Complicated hierarchical control systems. 10. The use of artifical inteligent systems. 11. Aplication of neural networks in control and fuzzy control.

Conditions for subject completion

Part-time form (validity from: 2022/2023 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Examination Examination   3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (P0413D270001) Management of Industrial Systems P English Ostrava Choice-compulsory type B study plan
2024/2025 (P0413D270001) Management of Industrial Systems K English Ostrava Choice-compulsory type B study plan
2023/2024 (P0413D270001) Management of Industrial Systems P English Ostrava Choice-compulsory type B study plan
2023/2024 (P0413D270001) Management of Industrial Systems K English Ostrava Choice-compulsory type B study plan
2022/2023 (P0413D270001) Management of Industrial Systems K English Ostrava Choice-compulsory type B study plan
2022/2023 (P0413D270001) Management of Industrial Systems P English Ostrava Choice-compulsory type B study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

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