DATA DRIVEN LINEAR OPTIMAL CONTROL USING MODEL-BASED AND MODEL-FREE REINFORCEMENT LEARNING
The objective of optimal control theory is to design control signals such that the output of the controlled system achieves the desired reference while simultaneously optimizing a performance index. Conventional optimal control systems require solving the Hamilton-Jacobi-Bellman (HJB) Equation to...
Saved in:
| Main Author: | |
|---|---|
| Format: | Dissertations |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/84508 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |