KOC UNIVERSITY
Department of Mechanical Engineering
MECH 304 Dynamic Modeling and Control

 

Schedule 

Useful Links
Suggested Problems

Problem/Lab Sessions

 

This course is an introduction to modern control theory. The course will cover mathematical modeling of engineering systems, feedback control, stability and performance analysis, frequency and time response methods. A software package, Matlab/Simulink, will be used for control system analysis and design in this course.

 

Instructor:                            Prof. Cagatay Basdogan
                                               ENG-247
                                               Extension: 1721
                                               e-mail: cbasdogan@ku.edu.tr

 

Teaching Assistant             TBA

TAs are located in ENG 258-259

 

Text:                                      Modern Control Systems
                                               Richard C. Dorf, Robert Bishop, 13th Edition, Prentice Hall

 

Lectures:                               Mon                8.30 - 9.45
                                               Wed                8.30 - 9.45

 

Laboratory Sessions         Occasionally, students will attend computer laboratory sessions. During these sessions, they will learn to solve control problems using Matlab and Simulink. The session times will be announced later.

 

Problem Sessions              There is a problem session every week. The session times will be announced by the registrars’ office.

Exams:                                  Two mid-term exams and one final exam will be given. All exams will be closed-book. One sheet (letter size, double-sided) notes/formulas will be permitted in the exams. The exam dates will be announced by the registrars’office.

 

Project                                The project involves the simulation of a mechanical system in Simulink/Matlab.                                

 

Suggested Problems          

Please see the Suggested Problems from the textbook. In addition, solved problems of the past exams will be available in the shared folder of the course.  

           

 

 

Grading

Project                                    25 %

Exam-I                                   25 %

Exam-II                                  25 %

                                               Final                                       30 %
Academic
Integrity:                              

Academic honesty is expected of all students. Discussions between students are highly encouraged, but copying homework or a code from others is strictly prohibited and will result in the failure in the course.