The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Adaptive Neural Network Control for a Class of Nonlinear Systems With Function Constraints on States
Abstract
In this article, the problem of tracking control for a class of nonlinear time-varying full state constrained systems is investigated. By constructing the time-varying asymmetric barrier Lyapunov function (BLF) and combining it with the backstepping algorithm, the intelligent controller and adaptive law are developed. Neural networks (NNs) are utilized to approximate the uncertain function. It is well known that in the past research of nonlinear systems with state constraints, the state constraint boundary is either a constant or a time-varying function. In this article, the constraint boundaries both related to state and time are investigated, which makes the design of control algorithm more complex and difficult. Furthermore, by employing the Lyapunov stability analysis, it is proven that all signals in the closed-loop system are bounded and the time-varying full state constraints are not violated. In the end, the effectiveness of the control algorithm is verified by numerical simulation.
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Cites
Barrier Lyapunov Functions for the control of output-constrained nonlinear systems
Tee, K. P., Ge, S. S., & Tay, E. H. (2009) · Automatica · doi:10.1016/j.automatica.2008.11.017 · Cited by 2,912
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
Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs
Mozaffari, M., Saad, W., Bennis, M., & Debbah, M. (2016) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2016.2531652 · Cited by 1,126
Adaptive Neural Control for Output Feedback Nonlinear Systems Using a Barrier Lyapunov Function
Ren, B., Ge, S. S., Tee, K. P., & Lee, T. H. (2010) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2010.2047115 · Cited by 1,087
Control of nonlinear systems with time-varying output constraints
Tee, K. P., Ren, B., & Ge, S. S. (2011) · Automatica · doi:10.1016/j.automatica.2011.08.044 · Cited by 1,059
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
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
Chen, M., Ge, S. S., & How, B. (2010) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2010.2042611 · Cited by 732
Adaptive neural network control for strict-feedback nonlinear systems using backstepping design
Zhang, T., Ge, S. S., & Hang, C. C. (2000) · Automatica · doi:10.1016/s0005-1098(00)00116-3 · Cited by 679
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
Self-citation
Cited by
Neural Network Based Approach for Steady-State Stability Assessment of Power Systems
Badrudeen, T. U., Nwulu, N. I., & Gbadamosi, S. L. (2023) · Sustainability · doi:10.3390/su15021667 · Cited by 28
Kharrat, M., & Alhazmi, H. (2025) · Neural Processing Letters · doi:10.1007/s11063-025-11749-7 · Cited by 7
“Forexample Forexample,anadaptiveneuralnetworkcontrolchallengepertainstoacategoryof nonlinearsystemscharacterizedbyfunctionconstraintsonstateshasbeendocumentedin [8].”
Metadata
- Authors
- Liu, Y.-J., Zhao, W., Liu, L., Li, D., Tong, S., & Chen, C. L. P.
- Venue
- IEEE Transactions on Neural Networks and Learning Systems
- Published
- 2023-06
- Volume
- 34
- Issue
- 6
- Pages
- 2732-2741
- ISSN
- 2162-237X (ISSN-L)
- 2162-2388
- OpenAlex
- W3200288111
- Cited by
- 331
- References
- 46
- FWCI
- 22.66
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, Y.-J., Zhao, W., Liu, L., Li, D., Tong, S., & Chen, C. L. P. (2023). Adaptive Neural Network Control for a Class of Nonlinear Systems With Function Constraints on States. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2021.3107600
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