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dynamics
Comparing recursive estimators in the presence of unmodeled dynamics
Adaptation and Learning in Control and Signal Processing, Volume # 10 | Part# 1
Location: Bogazici University, Turkey
National Organizing Committee Chair: Bauer, Otto
International Program Committee Chair: Fradkov, Alexander,
Jin, Yaochu
Conference Editor: Kayacan, Erdal
Authors
Nilsson, Magnus; Egardt, Bo
Digital Object Identifier (DOI)
10.3182/20100826-3-TR-4015.00026
Page Numbers:
128-133
Index Terms
adaptive control,recursive algorithms,identification algorithms
Abstract
Indirect recursive identification algorithms have been suggested for robust control design in the literature. The purpose of this contribution is to clarify that such algorithms need proper calculation of the update direction in undermodeled situations. An indirect pseudolinear regression is compared to a (more suitable) indirect recursive prediction-error method. Their asymptotic properties are examined through simulations, using a specific control structure.
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