The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Stabilization on zero-error manifolds and the nonlinear servomechanism problem
Abstract
The extended-linearization methodology is applied to the nonlinear servomechanism problem for the case of time-varying exogenous signals. This yields a novel approach to establishing exponential manifold, known as the zero-error manifold. Advantages of the approach are that the underlying theory is relatively simple, and that a requirement of small derivatives for the exogenous signals is used rather than a requirement that the exogenous signals remain small. Thus certain cases of unbounded exogenous signals can be treated. A transmission zero condition for existence of the requisite zero-error manifold is given.>
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Citations
Cites
The Linear Multivariable Regulator Problem
Francis, B. A. (1977) · SIAM Journal on Control and Optimization · doi:10.1137/0315033 · Cited by 1,092
Cited by
Constructive nonlinear control: a historical perspective
Kokotović, P., & Arcak, M. (2001) · Automatica · doi:10.1016/s0005-1098(01)00002-4 · Cited by 720
Adaptive Non-linear Tracking with Complete Compensation of Unknown Disturbances
Nikiforov, V. O. (1998) · European Journal of Control · doi:10.1016/s0947-3580(98)70107-4 · Cited by 434
Metadata
- Authors
- Huang, J., & Rugh, W. J.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 1992-07
- Volume
- 37
- Issue
- 7
- Pages
- 1009-1013
- ISSN
- 0018-9286 (ISSN-L)
- OpenAlex
- W2103864973
- Cited by
- 163
- References
- 1
- FWCI
- 14.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Stabilization on zero-error manifolds and the nonlinear servomechanism problem. https://app.cochat.ai/papers/10.1109/9.148359
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- Huang, J., & Rugh, W. J. (1992). Stabilization on zero-error manifolds and the nonlinear servomechanism problem. IEEE Transactions on Automatic Control. https://doi.org/10.1109/9.148359
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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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
