The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Adaptive Neural Control of Uncertain Nonlinear Systems Using Disturbance Observer
Abstract
This paper studies the problem of prescribed performance adaptive neural control for a class of uncertain multi-input and multi-output (MIMO) nonlinear systems in the presence of external disturbances and input saturation based on a disturbance observer. The system uncertainties are tackled by neural network (NN) approximation. To handle unknown disturbances, a Nussbaum disturbance observer is presented. By incorporating the disturbance observer and NNs, an adaptive prescribed performance neural control scheme is further developed. Then, the expected asymptotically convergent tracking errors between system output signals and desired signals are achieved. Numerical simulation results demonstrate the effectiveness of the proposed control scheme.
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Citations
Cites
Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance
Bechlioulis, C. P., & Rovithakis, G. A. (2008) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2008.929402 · Cited by 2,756
Motion control for advanced mechatronics
Ohnishi, K., Shibata, M., & Murakami, T. (1996) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/3516.491410 · Cited by 1,878
Disturbance Observer Based Control for Nonlinear Systems
Chen, W.-H. (2004) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2004.839034 · Cited by 1,452
Adaptive Control Design and Analysis
Tao, G. (2003) · Wiley eBooks · doi:10.1002/0471459100 · Cited by 1,438
Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints
He, W., Chen, Y., & Yin, Z. (2016) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2411285 · Cited by 1,273
Wang, D., & Huang, J. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.839354 · Cited by 1,266
Wen, C., Zhou, J., Liu, Z., & Su, H. (2011) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2011.2122730 · Cited by 1,199
Stable Adaptive Neural Network Control
Ge, S. S., Hang, C. C., Lee, T. H., & Zhang, T. (2002) · Springer eBooks · doi:10.1007/978-1-4757-6577-9 · Cited by 1,149
Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints
Chen, M., Ge, S. S., & Ren, B. (2011) · Automatica · doi:10.1016/j.automatica.2011.01.025 · Cited by 1,056
Self-citationChen, M., Ge, S. S., & How, B. (2010) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2010.2042611 · Cited by 732
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Cited by
Adaptive Finite-Time Tracking Control of Nonlinear Systems With Dynamics Uncertainties
Wang, H., Xu, K., & Zhang, H. (2023) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2022.3226703 · Cited by 342
Fixed-time adaptive neural tracking control for a class of uncertain nonstrict nonlinear systems
Ba, D., Li, Y.-X., & Tong, S. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.06.063 · Cited by 281
Wan, Z., Liu, C., & Fu, Y. (2025) · Transactions of the Institute of Measurement and Control · doi:10.1177/01423312241266687 · Cited by 4
Metadata
- Authors
- Chen, M., Shao, S.-Y., & Jiang, B.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2017-10
- Volume
- 47
- Issue
- 10
- Pages
- 3110-3123
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W2592752239
- Cited by
- 292
- References
- 46
- FWCI
- 20.15
- Type
- journal article
- Language
- en
- Open access
- closed
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