|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|
|Academic staff||Mihails Gorobecs, Andrejs Potapovs|
|Credit points||3.0 (4.5 ECTS)|
Adaptive systems are the 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. The main features of the adaptive system are the possibilities for self-organization, self-learning and self-regulation with the use of expert systems , 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. .
Goals and objectives
of the course in terms
of competences and skills
|The goal of the subject is to give knowledge about adaptive automatic control systems, their features and to teach students to apply adaptive methods for the complex objects control.|
The students are 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.
The students are able to solve extreme control tasks of the complex electro-mechanical objects, develop robots and other electric devices adaptive control programs. - Practical class. Study project.
The students are able to define principles of adaptive systems, features and parameters, describe methods of adaptive control, and control tasks. - Theoretical examinational questions.
The students are 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.
|Course prerequisites||Programming, electrical engineering.|