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A Continuous Asymptotic Tracking Control Strategy for Uncertain Nonlinear Systems

Xian, B., Dawson, D.M., deQueiroz, M.S., Chen, J.·2004·IEEE Transactions on Automatic Control

Abstract

In this note, we present a new continuous control mechanism that compensates for uncertainty in a class of high-order, multiple-input-multiple-output nonlinear systems. The control strategy is based on limited assumptions on the structure of the system nonlinearities. A new Lyapunov-based stability argument is employed to prove semiglobal asymptotic tracking.

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Metadata

Authors
Xian, B., Dawson, D. M., deQueiroz, M. S., & Chen, J.
Venue
IEEE Transactions on Automatic Control
Published
2004-07
Volume
49
Issue
7
Pages
1206-1206
ISSN
0018-9286 (ISSN-L)
OpenAlex
W2101433417
Cited by
651
References
0
FWCI
16.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Continuous Asymptotic Tracking Control Strategy for Uncertain Nonlinear Systems. https://app.cochat.ai/papers/10.1109/tac.2004.831148
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Xian, B., Dawson, D. M., deQueiroz, M. S., & Chen, J. (2004). A Continuous Asymptotic Tracking Control Strategy for Uncertain Nonlinear Systems. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2004.831148

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.