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Adaptive neural network control of nonlinear systems by state and output feedback
Abstract
This paper presents a novel control method for a general class of nonlinear systems using neural networks (NNs). Firstly, under the conditions of the system output and its time derivatives being available for feedback, an adaptive state feedback NN controller is developed. When only the output is measurable, by using a high-gain observer to estimate the derivatives of the system output, an adaptive output feedback NN controller is proposed. The closed-loop system is proven to be semi-globally uniformly ultimately bounded (SGUUB). In addition, if the approximation accuracy of the neural networks is high enough and the observer gain is chosen sufficiently large, an arbitrarily small tracking error can be achieved. Simulation results verify the effectiveness of the newly designed scheme and the theoretical discussions.
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Citations
Cited by
Murray, J. J., Cox, C. J., Lendaris, G. G., & Saeks, R. (2002) · IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2002.801727 · Cited by 677
Adaptive output-feedback control design with prescribed performance for switched nonlinear systems
Li, Y., Tong, S., Liu, L., & Feng, G. (2017) · Automatica · doi:10.1016/j.automatica.2017.02.005 · Cited by 668
Zhang, T. P., & Ge, S. S. (2007) · Automatica · doi:10.1016/j.automatica.2006.12.014 · Cited by 508
Self-citation
Metadata
- Authors
- Ge, S. S., Hang, C. C., & Zhang, T.
- Venue
- IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)
- Published
- 1999
- Volume
- 29
- Issue
- 6
- Pages
- 818-828
- ISSN
- 1083-4419 (ISSN-L)
- OpenAlex
- W2167287735
- Cited by
- 415
- References
- 0
- FWCI
- 14.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Adaptive neural network control of nonlinear systems by state and output feedback. https://app.cochat.ai/papers/10.1109/3477.809035
- The paper
- Ge, S. S., Hang, C. C., & Zhang, T. (1999). Adaptive neural network control of nonlinear systems by state and output feedback. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). https://doi.org/10.1109/3477.809035
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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