| Code | EEI354 |
| Name | Adaptive Systems in Industrial Electronics |
| Status | Compulsory/Courses of Limited Choice |
| Level and type | Post-graduate Studies, Academic |
| Field of study | Power and Electrical Engineering |
| Faculty | |
| Academic staff | Mihails Gorobecs, Andrejs Potapovs |
| Credit points | 3.0 (4.5 ECTS) |
| Parts | 1 |
| Annotation |
Study course is devoted to adaptive systems that automatically adjust themselves to outside conditions and changes of electric or electro-mechanic control object, changing structure and parameters of control device providing necessary quality of control. Within the study course main features of the adaptive system are the possibilities of embedded systems for self-organization, self-learning and self-regulation with the use of fuzzy logic, associative memory, neural networks and other methods, solving the tasks of extreme control and optimization, automation control as well as searching, recognition, classification, clasterization tasks are studied.. |
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Goals and objectives of the course in terms of competences and skills |
The goal of the course is to provide knowledge about basic principles and development approaches of adaptive systems in industrial electronics. The tasks of the study course are to give knowledge about adaptive automatic control systems, their features and to teach students to apply adaptive methods for the complex objects control. |
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Learning outcomes and assessment |
Is able to use languages for controllers programming in the realization of adaptive control methods for the control of electric and electro-mechanic objects. - Practical class. Study project. Is able to develop robots and other electric devices adaptive control programs. - Practical class. Study project. Is able to define principles of adaptive systems, features and parameters, describe methods of adaptive control, and control tasks. - Theoretical examinational questions. Is able to develop adaptive computer models for the systems robots and other electric devices automatization and control in Simulink environment. - Practice in computer class. Study project. Is able to solve extreme control tasks of the complex electro-mechanical objects. - Practical examination task. |
| Course prerequisites | Programming, electrical engineering. |