CDS 110b: Course Overview: Difference between revisions
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* Part II: state estimation - random processes, Kalman filtering | * Part II: state estimation - random processes, Kalman filtering | ||
* Part III: robust control theory | * Part III: robust control theory | ||
<li> Course Administration - | <li> Course Administration - review of {{cds110b-pdfs|syllabus.pdf|course syllabus}} | ||
<li> Additional CDS course opportunities | <li> Additional CDS course opportunities | ||
* CDS Minor: CDS 110ab, CDS 104 (spring) or CDS 140a (fall) | * CDS Minor: CDS 110ab, CDS 104 (spring) or CDS 140a (fall) | ||
Revision as of 20:29, 2 January 2006
See current course homepage to find most recent page available. |
| Course Home | L7-2: Sensitivity | L8-1: Robust Stability | L9-1: Robust Perf | Schedule |
This short (30 min) lecture provides a brief overview of the course.
Lecture Outline
- Course goals and approach
- Introduce modern tools for control system design: optimal control, LQR, Kalman filtering, robust loop shaping
- Give insight into control implementation through optional lab experiment (Alice)
- Course overview
- Part I: optimal control - trajectory generation to LQR
- Part II: state estimation - random processes, Kalman filtering
- Part III: robust control theory
- Course Administration - review of course syllabus
- Additional CDS course opportunities
- CDS Minor: CDS 110ab, CDS 104 (spring) or CDS 140a (fall)
- CDS 270: Networked control systems (spring 2006)
- CDS 237: Frontiers in Control and Dynamical Systems
Lecture Materials
- Lecture Presentation - copy of charts used in lecture
- Course Syllabus
