| Weekly Schedule and Class Notes |
- Lecture notes : all notes will be posted in this section.
- It is your responsibility to download, print and bring the notes to the class. Notes will be available 24 hours before each class.
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Week |
Date |
Topic |
Reading |
Assignments |
Notices and Dues |
Notes |
|
1 |
09/03 |
1. Course Organization /Introduction |
Lecture Note |
Homework #1 (Homepage, Due on Sep. 9th) |
[Lecture] |
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2 |
09/10 |
2. Reinforcement learning (I) 3. Deep Reinforement Learning (I) |
Lecture Note |
Homework #2 (Maze exit, Due on Sep. 23th) |
Due on Homework #1 |
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3 |
09/17 |
Reading days |
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4 |
09/24 |
5. PID control 6. System Control : : Simulink & Simscape implementation |
Lecture Note |
Homework #3 & #4 (Transfer function-based PID control, PMSM control, Due on Oct. 4th) |
Due on Homework #2 |
[Lecture] |
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5 |
10/01 |
Reading days |
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Due on Homework #3 & 4 |
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6 |
10/08 |
7. Physics-based Control (I) : Two mass system |
Lecture Note |
Homework #5 (Two mass system modeling , Due on Oct. 14th) |
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7 |
10/15 |
8. Physics-based Control (II) : EV battery module modeling 9. Physics-based Control (III) : Air drag, friction, Road info modeling |
Lecture Note |
Homework #6 (EV battery modeling , Due on Oct. 21st) |
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8 |
10/22 |
Reading days |
Lecture Note |
Due on Homework #6 |
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9 |
10/29 |
10. Physcis-based Control (IV) : Motor & Drive Control |
Lecture Note |
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10 |
11/05 |
Midterm exam |
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11 |
11/12 |
11.Stocastic Control 12. Deep Reinforcement learning (II) |
Lecture Note |
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12 |
11/19 |
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13 |
11/26 |
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14 |
12/03 |
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15 |
12/10 |
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16 |
12/17 |
Final Exam |
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