The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Observer and Command-Filter-Based Adaptive Fuzzy Output Feedback Control of Uncertain Nonlinear Systems
Abstract
In this paper, observer and command-filter-based adaptive fuzzy output feedback control is proposed for a class of strict-feedback systems with parametric uncertainties and unmeasured states. First, fuzzy logic systems are used to approximate the unknown and nonlinear functions. Next, a fuzzy state observer is developed to estimate the immeasurable states. Then, command-filtered backstepping control is designed to avoid the explosion of complexity in the backstepping design, and compensating signals are introduced to remove the effect of the errors caused by command filters. The proposed method guarantees that all signals in the closed-loop systems are bounded. The main contributions of this paper are the proposed control method can overcome two problems of linear in the unknown system parameter and explosion of complexity in backstepping-design methods and it does not require that all of the states of the system are measured directly. Finally, two examples are provided to illustrate its effectiveness.
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Cites
3 retracted
Karimi, H. R., & Gao, H. (2010) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2009.2024408 · Cited by 445
RetractedChadli, M., & Karimi, H. R. (2013) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2012.2197215 · Cited by 388
RetractedKarimi, H. R. (2011) · IEEE Transactions on Circuits and Systems I: Regular Papers · doi:10.1109/tcsi.2011.2106090 · Cited by 327
RetractedNonlinear and adaptive control design
Krstić, M., Kokotović, P. V., & Kanellakopoulos, I. (1995) · Cited by 10,421
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
Wang, L.-X., & Mendel, J. M. (1992) · IEEE Transactions on Neural Networks · doi:10.1109/72.159070 · Cited by 2,796
Dynamic surface control for a class of nonlinear systems
Swaroop, D., Hedrick, J. K., Yip, P. P., & Gerdes, J. C. (2000) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2000.880994 · Cited by 2,445
Systematic design of adaptive controllers for feedback linearizable systems
Kanellakopoulos, I., Kokotovic, P. V., & Morse, A. S. (1991) · IEEE Transactions on Automatic Control · doi:10.1109/9.100933 · Cited by 1,958
Wang, D., & Huang, J. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.839354 · Cited by 1,266
Farrell, J. A., Polycarpou, M., Sharma, M., & Dong, W. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2009.2015562 · Cited by 1,257
Self-citationCommand 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
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Cited by
Observer-Based Dynamic Event-Triggered Control for Multiagent Systems With Time-Varying Delay
Cao, L., Pan, Y., Liang, H., & Huang, T. (2023) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2022.3226873 · Cited by 340
Adaptive Controller Design-Based ABLF for a Class of Nonlinear Time-Varying State Constraint Systems
Liu, Y.-J., Lu, S., Li, D., & Tong, S. (2017) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2016.2633007 · Cited by 284
Metadata
- Authors
- Yu, J., Shi, P., Dong, W., & Yu, H.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2015-09
- Volume
- 62
- Issue
- 9
- Pages
- 5962-5970
- ISSN
- 0278-0046 (ISSN-L)
- 1557-9948
- OpenAlex
- W2005595169
- Cited by
- 428
- References
- 28
- FWCI
- 24.44
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.