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CSE 622 - Adaptive Control Systems

Institute of Science and Technology · Computer Science and Engineering (%30 English) · Doctorate

ECTS: 7.5 T+P+L: 3+0+0 Departmental Elective
Coordinator: Doç. Dr. Gökhan ERDEMİR
Instructors: Doç. Dr. Gökhan ERDEMİR

Course Objective

The aim of this course is to solve the modeling and solution difficulties encountered in control structures by using intelligent control approaches. In this context, fuzzy logic (artificial neural networks) and fuzzy logic (artificial neural networks) will be used to design and use intelligent control systems.

Course Content

To examine adaptive control systems in both theoretically and experimentally.

Course Learning Outcomes

  1. To design controller
  2. To learn adaptive control models
  3. Uyarlamalı kontrol sistemi kullanarak robot kontrolü yapabilir.

Core Area Distribution

(52) Engineering and Engineering Trades%100

Teaching Methods

ExpressionQuestion-AnswerDiscussionExercise and PracticePresentationSimulationExperiment - Test / Lab/ Workshop / Field PracticeSelf studyProblem SolvingProject Based Learning (Including Field Work)

Assessment & Evaluation

HomeworkProject / DesignTesting (Essay / Tests: True-Falls, multiple-choice, short answer, matching)

ECTS / Workload

ActivityQuantityDuration (h)Total Workload
Course Duration (Including Exam Week)14342
Out of Class Study Period14342
Midterm133
Quiz000
Assignment5315
Practice339
Final133

Course Schedule

WeekSubjectPreparation
1Introduction to control systems
2Laplace and z transformations
3Steady state erros
4Stability and root locus
5Transient state response
6Lyapunov stability analyse and bode diagramls
7Control of nonlinear systems
8Adaptive control structure
9Adaptive control design and stability
10Adaptive control design and stability
11Multi-variable control systems
12Application of robot control
13Application of robot control
14Application of robot control