The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach
Abstract
Controlling nonstrict-feedback nonlinear systems is a challenging problem in control theory. In this paper, we consider adaptive fuzzy control for a class of nonlinear systems with nonstrict-feedback structure by using fuzzy logic systems. A variable separation approach is developed to overcome the difficulty from the nonstrict-feedback structure. Furthermore, based on fuzzy approximation and backstepping techniques, a state feedback adaptive fuzzy tracking controller is proposed, which guarantees that all of the signals in the closed-loop system are bounded, while the tracking error converges to a small neighborhood of the origin. Simulation studies are included to demonstrate the effectiveness of our results.
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Cites
Nonlinear and adaptive control design
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Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
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Systematic design of adaptive controllers for feedback linearizable systems
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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
Self-citationA robust adaptive nonlinear control design
Polycarpou, M. M., & Ioannou, P. A. (1996) · Automatica · doi:10.1016/0005-1098(95)00147-6 · Cited by 941
Adaptive nonlinear control without overparametrization
Krstić, M., Kanellakopoulos, I., & Kokotović, P. V. (1992) · Systems & Control Letters · doi:10.1016/0167-6911(92)90111-5 · Cited by 727
Adaptive robust control of SISO nonlinear systems in a semi-strict feedback form
Yao, B., & Tomizuka, M. (1997) · Automatica · doi:10.1016/s0005-1098(96)00222-1 · Cited by 724
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
Self-citationDirect adaptive NN control of a class of nonlinear systems
Ge, S. S., & Wang, C. (2002) · IEEE Transactions on Neural Networks · doi:10.1109/72.977306 · Cited by 618
Self-citationA DSC Approach to Robust Adaptive NN Tracking Control for Strict-Feedback Nonlinear Systems
Li, T.-S., Wang, D., Feng, G., & Tong, S.-C. (2010) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2009.2033563 · Cited by 568
Cited by
Tong, S., Huo, B., & Li, Y. (2014) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2013.2241770 · Cited by 560
Tong, S., Sun, K., & Sui, S. (2018) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2017.2686373 · Cited by 551
Yu, J., Shi, P., Dong, W., & Yu, H. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2418317 · Cited by 428
Fuzzy Adaptive Finite-Time Control Design for Nontriangular Stochastic Nonlinear Systems
Sui, S., Chen, C. L. P., & Tong, S. (2019) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2018.2882167 · Cited by 363
Adaptive Fuzzy Finite-Time Control of Nonlinear Systems With Actuator Faults
Wang, H., Liu, P. X., Zhao, X., & Liu, X. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2019.2902868 · Cited by 345
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Metadata
- Authors
- Chen, B., Liu, X. P., Ge, S. S., & Lin, C.
- Venue
- IEEE Transactions on Fuzzy Systems
- Published
- 2012-12
- Volume
- 20
- Issue
- 6
- Pages
- 1012-1021
- ISSN
- 1063-6706 (ISSN-L)
- 1941-0034
- OpenAlex
- W2025025159
- Cited by
- 428
- References
- 37
- FWCI
- 23.18
- Type
- journal article
- Language
- en
- Open access
- closed
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