EECE 7213 — System Identification and Adaptive Control
4 semester hoursGraduateLecturetypical days: T/FBostonTraditional
Discusses fundamental issues of adaptive identification and control such as stability of adaptive systems, convergence, persistent excitation, and robustness. Identification is the process of mathematically modeling a system based on measurement data that may be limited or uncertain. Adaptive control is the means by which a system that is poorly modeled is controlled adequately. Enhances the underlying basic ideas that are essential for adaptive control. Emphasizes recursive approaches, such as the recursive least squares algorithm, where parameter estimates are updated in real time. Covers simple adaptive systems and adaptive observers in addition to adaptive control. Discusses in detail two major adaptive schemes: model reference adaptive control and self-tuning regulators.
Prerequisites
- EECE 7200 (min C-)
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 1 | 5 | 14 | 36% | 9.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 100% · W 0% · Th 0% · F 100%
Common patterns: TF (100% of sections) — in patterns, R means Thursday
Professors
Fall
- Bahram Shafai (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (EECE course descriptions) · Student reviews on RateMyHusky · All EECE courses · Plan it at numap.app