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A model reference adaptive control scheme for pure-feedback nonlinear systems
Abstract
A model reference adaptive control (MRAC) scheme is presented for nonlinear systems in a pure-feedback canonical form with unknown parameters. The present of parameter uncertainty in the system causes imperfect linearization, i.e. it introduces nonlinear additive terms in the transformed coordinates. Under some mild technical assumptions, global convergence of the output error is established for all initial estimates of the parameter vector lying in an open neighborhood of the true parameters in the parameter space.>
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Citations
Cited by
Adaptive Neural Control of Uncertain MIMO Nonlinear Systems
Ge, S. S., & Wang, C. (2004) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.826130 · Cited by 971
Kalantar, M., & Mousavi G., S. M. (2010) · Applied Energy · doi:10.1016/j.apenergy.2010.02.019 · Cited by 314
Adaptive Controller Design-Based ABLF for a Class of Nonlinear Time-Varying State Constraint Systems
Liu, Y.-J., Lu, S., Li, D., & Tong, S. (2017) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2016.2633007 · Cited by 284
Metadata
- Authors
- Nam, K., & Araposthathis, A.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 1988
- Volume
- 33
- Issue
- 9
- Pages
- 803-811
- ISSN
- 0018-9286 (ISSN-L)
- OpenAlex
- W2114121478
- Cited by
- 212
- References
- 0
- FWCI
- 11.91
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A model reference adaptive control scheme for pure-feedback nonlinear systems. https://app.cochat.ai/papers/10.1109/9.1308
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- Nam, K., & Araposthathis, A. (1988). A model reference adaptive control scheme for pure-feedback nonlinear systems. IEEE Transactions on Automatic Control. https://doi.org/10.1109/9.1308
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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