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Adaptive control of nonlinearly parameterized systems: the smooth feedback case

Wei Lin, Chunjiang Qian·2002·IEEE Transactions on Automatic Control

Abstract

Studies global adaptive control of nonlinearly parameterized systems with uncontrollable linearization. Using a parameter separation technique and the tool of adding a power integrator, we develop a feedback domination design approach for the explicit construction of a smooth adaptive controller that solves the problem of global state regulation. In contrast to the existing results in the literature, a key feature of our adaptive regulator is its minimum-order property, namely, no matter how big the number of unknown parameters is, the order of the dynamic compensator is identical to one, and is therefore minimal. As a consequence, global state regulation of feedback linearizable systems with nonlinear parameterization is achieved by one-dimensional adaptive controllers, without imposing any extra (e.g., convex/concave) conditions on the unknown parameters.

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Metadata

Authors
Lin, W., & Qian, C.
Venue
IEEE Transactions on Automatic Control
Published
2002-08
Volume
47
Issue
8
Pages
1249-1266
ISSN
0018-9286 (ISSN-L)
OpenAlex
W2115607130
Cited by
631
References
0
FWCI
15.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adaptive control of nonlinearly parameterized systems: the smooth feedback case. https://app.cochat.ai/papers/10.1109/tac.2002.800773
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Lin, W., & Qian, C. (2002). Adaptive control of nonlinearly parameterized systems: the smooth feedback case. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2002.800773

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