The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Observer-Based Fuzzy Adaptive Finite-Time Containment Control of Nonlinear Multiagent Systems With Input Delay
Abstract
This article is concerned with the finite-time containment control problem for nonlinear multiagent systems, in which the states are not available for control design and the control input contains time delay. Fuzzy-logic systems (FLSs) are used to approximate the unknown nonlinear functions and a novel distributed fuzzy state observer is proposed to obtain the unmeasured states. Under the framework of cooperative control and finite-time Lyapunov function theory, an observer-based adaptive fuzzy finite-time output-feedback containment control scheme is developed via the adaptive backstepping control design algorithm and integral compensator technique. The proposed adaptive fuzzy containment control method can ensure that the closed-loop system is stable and all followers can converge to the convex hull built by the leaders in finite time. A simulation example is provided to confirm the effectiveness of the proposed control method.
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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
Li, Z., Ren, W., Liu, X., & Fu, M. (2013) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.1847 · Cited by 517
Finite-Time Adaptive Fuzzy Tracking Control Design for Nonlinear Systems
Wang, F., Chen, B., Liu, X., & Lin, C. (2018) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2017.2717804 · Cited by 504
Event-Based Leader-following Consensus of Multi-Agent Systems with Input Time Delay
Zhu, W., & Jiang, Z.-P. (2015) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2014.2357131 · Cited by 486
Li, Y., Li, K., & Tong, S. (2019) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2018.2868898 · Cited by 483
Self-citationRen, H., Zong, G., & Li, T. (2018) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2017.2789186 · Cited by 416
Finite-Time Formation Control of Under-Actuated Ships Using Nonlinear Sliding Mode Control
Li, T., Zhao, R., Chen, C. L. P., Fang, L., & Liu, C. (2018) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2794968 · Cited by 396
Event-Triggered Consensus Control for Multi-Agent Systems Against False Data-Injection Attacks
Li, X.-M., Zhou, Q., Li, P., Li, H., & Lu, R. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2019.2937951 · Cited by 380
Event-Triggered Control for Multiagent Systems With Sensor Faults and Input Saturation
Cao, L., Li, H., Dong, G., & Lu, R. (2021) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2019.2938216 · Cited by 368
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
Self-citation
Research works printed but not linked: 14
- 10.1109/TFUZZ.2018.2883374 · doi:10.1109/tfuzz.2018.2883374
- 10.1191/0142331205tm132oa · doi:10.1191/0142331205tm132oa
- 10.1109/TNNLS.2015.2511005 · doi:10.1109/tnnls.2015.2511005
- 10.1049/iet-cta.2018.5330 · doi:10.1049/iet-cta.2018.5330
- 10.1016/j.fss.2014.03.013 · doi:10.1016/j.fss.2014.03.013
- 10.1002/asjc.1131 · doi:10.1002/asjc.1131
- 10.1002/rnc.4047 · doi:10.1002/rnc.4047
- 10.1109/TCYB.2017.2655054 · doi:10.1109/tcyb.2017.2655054
- chen, 2018, Finite-time adaptive fuzzy tracking control design for nonlinear systems, IEEE Trans Fuzzy Syst, 26, 1209
- 10.1016/j.automatica.2014.05.018 · doi:10.1016/j.automatica.2014.05.018
- 10.1016/j.automatica.2016.02.021 · doi:10.1016/j.automatica.2016.02.021
- 10.1109/TCSI.2018.2857771 · doi:10.1109/tcsi.2018.2857771
- 10.1109/TFUZZ.2019.2900602 · doi:10.1109/tfuzz.2019.2900602
- 10.1002/rnc.4672 · doi:10.1002/rnc.4672
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 fault-tolerant formation tracking control of networked mobile robots with input delays
Ai, X., Chen, Y.-Y., & Yu, H. (2024) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2023.11.020 · Cited by 12
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
Sun, J., Zhang, M., Ma, L., Ding, S., & Yu, X. (2025) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2025.3597432 · Cited by 8
Zhang, J., Jiang, W., & Sam Ge, S. (2025) · Asian Journal of Control · doi:10.1002/asjc.3590 · Cited by 3
Metadata
- Authors
- Li, Y., Qu, F., & Tong, S.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2021-01
- Volume
- 51
- Issue
- 1
- Pages
- 126-137
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W3008959010
- Cited by
- 447
- References
- 33
- FWCI
- 26.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Funders
- National Natural Science Foundation of China (61822307, 61773188)
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