EECE7213 (System Identification and Adaptive Control) course reviews and ratings at Northeastern (NEU). Compare professors with RateMyProfessor reviews.
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.
Data updated October 2026.