Feedback Error Learning with Insufficient Excitation

Authors:
Basel Alali;Kentaro Hirata;Kenji Sugimoto
Affiliations:
-;-;-
Venue:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Year:
2008

Citing 2
Cited 0

Adaptive Control

Adaptive Control
Adaptive Control Design and Analysis (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

Adaptive Control Design and Analysis (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

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Abstract

This letter studies the tracking error in Multi-input Multi-output Feedback Error Learning (MIMO-FEL) system having insufficient excitation. It is shown that the error converges to zero exponentially even if the reference signal lacks the persistently excitation (PE) condition. Furthermore, by making full use of this fast convergence, we estimate the plant parameter while in operation based on frequency response. Simulation results show the effectiveness of the proposed method compared to a conventional approach.