The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Command-Filtered-Based Fuzzy Adaptive Control Design for MIMO-Switched Nonstrict-Feedback Nonlinear Systems
Abstract
The adaptive fuzzy tracking control design problem for multi-input and multi-output uncertain switched nonstrict-feedback nonlinear systems with arbitrary switchings is investigated in this paper. Fuzzy logic systems are introduced to identify the unknown nonlinear functions (for state measurable case) and model the uncertain nonlinear systems (for state immeasurable case). Both state feedback and observer-based output feedback control design schemes are developed based on combined command filter and adaptive fuzzy control technique. The proposed adaptive fuzzy controllers not only solve the “explosion of complexity” problem existing in conventional backstepping control schemes, but as well as avoid the calculation of partial derivatives. Furthermore, the stability of the fuzzy control systems under arbitrary switchings is proven based on the common Lyapunov function method. Two simulation examples are presented to further demonstrate the effectiveness of the proposed control strategies.
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Cites
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
A robust adaptive nonlinear control design
Polycarpou, M. M., & Ioannou, P. A. (1996) · Automatica · doi:10.1016/0005-1098(95)00147-6 · Cited by 941
Command Filtered Adaptive Backstepping
Dong, W., Farrell, J. A., Polycarpou, M. M., Djapic, V., & Sharma, M. (2012) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2011.2121907 · Cited by 842
Chen, M., Ge, S. S., & How, B. (2010) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2010.2042611 · Cited by 732
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
Tong, S., Zhang, L., & Li, Y. (2016) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2015.2426131 · Cited by 539
Self-citationZhang, T. P., & Ge, S. S. (2007) · Automatica · doi:10.1016/j.automatica.2006.12.014 · Cited by 508
Tong, S.-C., Li, Y.-M., Feng, G., & Li, T.-S. (2011) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2011.2108283 · Cited by 498
Self-citationAdaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint
Zhou, Q., Wang, L., Wu, C., Li, H., & Du, H. (2017) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2016.2557222 · Cited by 481
Observer-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
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Cited by
Peng, Z., Wang, J., & Wang, D. (2018) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2017.2699167 · Cited by 382
Niu, B., & Li, L. (2018) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2017.2690465 · Cited by 185
Metadata
- Authors
- Li, Y., & Tong, S.
- Venue
- IEEE Transactions on Fuzzy Systems
- Published
- 2017-06
- Volume
- 25
- Issue
- 3
- Pages
- 668-681
- ISSN
- 1063-6706 (ISSN-L)
- 1941-0034
- OpenAlex
- W2410930004
- Cited by
- 264
- References
- 42
- FWCI
- 30.58
- Type
- journal article
- Language
- en
- Open access
- closed
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