MECHENG 8220
Transcript Abbreviation:
Optimal Control
Course Description:
Embraces the three historical trends in dynamic optimization: Calculus of Variations, Pontryagin's Minimum Principle, and Bellman's Principle of Optimality. Not only mathematical aspects of the three principles will be taught, but also their strengths and weaknesses - it is often less important to know how to apply a given principle than to know when.
Course Levels:
Graduate
Designation:
Elective
General Education Course:
(N/A)
Cross-Listings:
Cross-listed in ECE 8250.
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours:
3.00
Select if Repeatable:
Off
Maximum Repeatable Credits:
3.00
Total Completions Allowed:
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: 5372 or ECE 5551, or permission of instructor.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for ECE 8250.
Course Goals / Objectives:
The objective of the course is to give students background in the main mathematical principles for designing optimal control systems.
Demonstrate the basic concepts of the conventional calculus of variations and their application for dynamic optimization.
Demonstrate why the conventional calculus of variations is not applicable for designing optimal control for the processes of modern technology.
Demonstrate the new mathematical methods intended for systems with different types of constraints
Teach students to apply the methods of optimal control theory for such well known problems as minimization of transient time and fuel consumption, maximization of flight distance for air and space crafts etc.
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Linear optimal systems | 6.0 | 0.0 | 0.0 | 0 |
| Calculus of variation (CV) | 6.0 | 0.0 | 0.0 | 0 |
| CV for optimal control | 6.0 | 0.0 | 0.0 | 0 |
| Minimum principle | 6.0 | 0.0 | 0.0 | 0 |
| Dynamic programming | 6.0 | 0.0 | 0.0 | 0 |
| Singular problems | 6.0 | 0.0 | 0.0 | 0 |
| Applications of optimal control | 6.0 | 0.0 | 0.0 | 0 |
| Total | 42 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Final Examination | 40% |
| Midterms | 30% |
| Homework | 30% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| “Optimal Control Theory; an Introduction”, Dover Publications 2004 (Reprint of the Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1970 edition) | D. Kirk |
ABET-CAC Criterion 3 Outcomes:
(N/A)
ABET-ETAC Criterion 3 Outcomes:
(N/A)
ABET-EAC Criterion 3 Outcomes:
(N/A)
Embedded Literacies Info:
Attachments:
(N/A)
Additional Notes or Comments:
(N/A)
Basic Course Overview:
MECHENG_8220_basic.pdf
(10.24 KB)