The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Finite-Time Event-Triggered $\mathcal{H}_{\infty }$ Control for T–S Fuzzy Markov Jump Systems
Open accessAbstract
This paper investigates the finite-time event-triggered 'I-1 control problem for Takagi-Sugeno Markov jump fuzzy systems. Because of the sampling behaviors and the effect of network environment, the premise variables considered in this paper are subject to asynchronous constraints. The aim of this paper is to synthesize a controller via an event-triggered communication scheme such that not only the resulting closed-loop system is finite-time bounded and satisfies a prescribed 'I-1 performance level, but also the communication burden is reduced. First, a sufficient condition is established for the finite-time bounded 'I-1 performance analysis of the closed-loop fuzzy system with fully considering the asynchronous premises. Then, based on the derived condition, the method of the desired controller design is presented. Two illustrative examples are finally presented to demonstrate the practicability and efficacy of the proposed method.
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1 retracted
Karimi, H. R. (2011) · IEEE Transactions on Circuits and Systems I: Regular Papers · doi:10.1109/tcsi.2011.2106090 · Cited by 327
Self-citationRetractedFuzzy identification of systems and its applications to modeling and control
Takagi, T., & Sugeno, M. (1985) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1985.6313399 · Cited by 19,592
A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems
Yue, D., Tian, E., & Han, Q.-L. (2013) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2012.2206694 · Cited by 1,677
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
Feng, G. (2006) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2006.883415 · Cited by 1,671
A new delay system approach to network-based control
Gao, H., Chen, T., & Lam, J. (2007) · Automatica · doi:10.1016/j.automatica.2007.04.020 · Cited by 1,134
Park, P., Lee, W. I., & Lee, S. (2015) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2015.01.004 · Cited by 831
SHORT-TIME STABILITY IN LINEAR TIME-VARYING SYSTEMS
Dorato, P. (1961) · Cited by 661
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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
Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links
Shen, H., Zhu, Y., Zhang, L., & Park, J. H. (2017) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2015.2511196 · Cited by 489
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Second-order sliding mode controller design with output constraint
Ding, S., Park, J. H., & Chen, C.-C. (2020) · Automatica · doi:10.1016/j.automatica.2019.108704 · Cited by 304
Disturbance Observer Design for Nonlinear Systems Represented by Input–Output Models
Ding, S., Chen, W.-H., Mei, K., & Murray-Smith, D. J. (2020) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2019.2898585 · Cited by 258
Accurate Finite-Time Motion Control of Hydraulic Actuators with Event-Triggered Input
Chen, J., Du, X., Lyu, L., Fei, Z., & Sun, X.-M. (2024) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3319348 · Cited by 18
Metadata
- Authors
- Shen, H., Li, F., Yan, H., Karimi, H. R., & Lam, H.-K.
- Venue
- IEEE Transactions on Fuzzy Systems
- Published
- 2018-10
- Volume
- 26
- Issue
- 5
- Pages
- 3122-3135
- ISSN
- 1063-6706 (ISSN-L)
- 1941-0034
- OpenAlex
- W2781598313
- Cited by
- 458
- References
- 18
- FWCI
- 51.35
- Type
- journal article
- Language
- en
- Open access
- green
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- Shen, H., Li, F., Yan, H., Karimi, H. R., & Lam, H.-K. (2018). Finite-Time Event-Triggered $\mathcal{H}_{\infty }$ Control for T–S Fuzzy Markov Jump Systems. IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/tfuzz.2017.2788891
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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.
