The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Observer-Based Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems With Unknown Control Gain Functions
Abstract
This article investigates the adaptive fuzzy output-feedback backstepping control design problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual and actual control gain functions and unmeasurable states. A fuzzy state observer is designed via fuzzy-logic systems, thus the unmeasurable states are estimated based on the designed fuzzy state observer. By constructing the logarithm Lyapunov functions and incorporating the property of the fuzzy basis functions and bounded control design technique into the adaptive backstepping recursive design, a novel observer-based adaptive fuzzy output-feedback control method is developed. The proposed fuzzy adaptive output-feedback backstepping control scheme can remove the restrictive assumptions in the previous literature that the virtual control gains and actual control gain functions must be constants. Furthermore, it can make the control system be semiglobally uniformly ultimately boundedness (SGUUB) and keep the observer and tracking errors to remain in a small neighborhood of the origin. The numerical simulation example is presented to validate the effectiveness of the proposed control scheme and theory.
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Citations
Cites
Stable adaptive fuzzy control of nonlinear systems
Wang, L.-X. (1993) · IEEE Transactions on Fuzzy Systems · doi:10.1109/91.227383 · Cited by 1,617
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Direct adaptive fuzzy control of nonlinear strict-feedback systems
Chen, B., Liu, X., Liu, K., & Lin, C. (2009) · Automatica · doi:10.1016/j.automatica.2009.02.025 · Cited by 707
Adaptive neural network control for strict-feedback nonlinear systems using backstepping design
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Direct adaptive NN control of a class of nonlinear systems
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Tong, S., Huo, B., & Li, Y. (2014) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2013.2241770 · Cited by 560
Self-citationAdaptive Fuzzy Tracking Control Design for SISO Uncertain Nonstrict Feedback Nonlinear Systems
Tong, S., Li, Y., & Sui, S. (2016) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2016.2540058 · Cited by 489
Self-citationObserver-based fuzzy adaptive control for strict-feedback nonlinear systems
Tong, S., & Li, Y. (2009) · Fuzzy Sets and Systems · doi:10.1016/j.fss.2008.09.004 · Cited by 463
Self-citationAdaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach
Chen, B., Liu, X. P., Ge, S. S., & Lin, C. (2012) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2012.2190048 · Cited by 428
Observer-Based Adaptive Neural Network Control for Nonlinear Systems in Nonstrict-Feedback Form
Chen, B., Zhang, H., & Lin, C. (2016) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2015.2412121 · Cited by 307
Cited by
An Overview of Finite/Fixed-Time Control and Its Application in Engineering Systems
Liu, Y., Li, H., Lu, R., Zuo, Z., & Li, X. (2022) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2022.105413 · Cited by 512
Adaptive Neural Network Control for a Class of Nonlinear Systems With Function Constraints on States
Liu, Y.-J., Zhao, W., Liu, L., Li, D., Tong, S., & Chen, C. L. P. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3107600 · Cited by 331
Self-citationAdaptive Fuzzy Control of Nonlinear Systems With Predefined Time and Accuracy
Wang, Q., Cao, J., & Liu, H. (2022) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2022.3169852 · Cited by 304
Adaptive fuzzy fault-tolerant control for the attitude tracking of spacecraft within finite time
Gao, S., Jing, Y., Dimirovski, G. M., & Zheng, Y. (2021) · Acta Astronautica · doi:10.1016/j.actaastro.2021.08.033 · Cited by 32
Observer-Based Control Design for Nonlinear Systems With Unknown Delays
Nguyen, C. M., Zemouche, A., & Trinh, H. (2022) · IEEE Transactions on Circuits and Systems II: Express Briefs · doi:10.1109/tcsii.2021.3107244 · Cited by 9
Metadata
- Authors
- Tong, S., Min, X., & Li, Y.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2020-09
- Volume
- 50
- Issue
- 9
- Pages
- 3903-3913
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W3011116059
- Cited by
- 512
- References
- 19
- FWCI
- 48.80
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tong, S., Min, X., & Li, Y. (2020). Observer-Based Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems With Unknown Control Gain Functions. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2020.2977175
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