The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Finite-time control of discrete-time semi-Markov jump linear systems: A self-triggered MPC approach
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Exact stochastic simulation of coupled chemical reactions
Gillespie, D. T. (1977) · The Journal of Physical Chemistry · doi:10.1021/j100540a008 · Cited by 10,136
A riccati equation approach to the stabilization of uncertain linear systems
Petersen, I. R., & Hollot, C. V. (1986) · Automatica · doi:10.1016/0005-1098(86)90045-2 · Cited by 868
Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems With Singular Perturbations
Shen, H., Li, F., Xu, S., & Sreeram, V. (2017) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2017.2774006 · Cited by 480
Pan, Y., Wu, Y., & Lam, H.-K. (2022) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2022.3148875 · Cited by 475
Zhang, L., Leng, Y., & Colaneri, P. (2015) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2015.2438424 · Cited by 370
Stochastic stability and robust stabilization of semi‐Markov jump linear systems
Huang, J. D., & Shi, Y. (2012) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.2862 · Cited by 366
Stability analysis of semi-Markov switched stochastic systems
Wang, B., & Zhu, Q. (2018) · Automatica · doi:10.1016/j.automatica.2018.04.016 · Cited by 279
Finite‐timeH ∞ control for discrete‐time switched nonlinear systems with time delay
Zong, G., Wang, R., Zheng, W. X., & Hou, L. (2013) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.3121 · Cited by 246
A Novel Mixed Control Approach for Fuzzy Systems via Membership Functions Online Learning Policy
Pan, Y., Li, Q., Liang, H., & Lam, H. (2021) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2021.3130201 · Cited by 215
Ren, C., He, S., Luan, X., Liu, F., & Karimi, H. R. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.2996743 · Cited by 191
Self-citationFinite-region asynchronous H ∞ control for 2D Markov jump systems
Cheng, P., He, S., Luan, X., & Liu, F. (2021) · Automatica · doi:10.1016/j.automatica.2021.109590 · Cited by 164
Self-citationRobust Self-Triggered MPC With Adaptive Prediction Horizon for Perturbed Nonlinear Systems
Sun, Z., Dai, L., Liu, K., Dimarogonas, D. V., & Xia, Y. (2019) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2019.2905223 · Cited by 161
Zhang, L., Yang, T., & Colaneri, P. (2016) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2016.2618844 · Cited by 140
Robust self-triggered min–max model predictive control for discrete-time nonlinear systems
Liu, C., Li, H., Gao, J., & Xu, D. (2018) · Automatica · doi:10.1016/j.automatica.2017.12.034 · Cited by 140
Robust self-triggered MPC for constrained linear systems: A tube-based approach
Brunner, F. D., Heemels, W. P. M. H., & Allgöwer, F. (2016) · Automatica · doi:10.1016/j.automatica.2016.05.004 · Cited by 134
Tian, Y., Yan, H., Zhang, H., Zhan, X., & Peng, Y. (2020) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2020.3034199 · Cited by 118
He, S., Ai, Q., Ren, C., Dong, J., & Liu, F. (2018) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2018.2798644 · Cited by 104
Self-citationSelf-Triggered DMPC Design for Cooperative Multiagent Systems
Mi, X., Zou, Y., Li, S., & Karimi, H. R. (2019) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2019.2896098 · Cited by 90
Dynamic Self-Triggered Controller Codesign for Markov Jump Systems
Wan, H., Luan, X., Karimi, H. R., & Liu, F. (2020) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2020.2992564 · Cited by 83
Self-citationCheng, J. S., Zhu, H. Y., Zhong, S., Zhong, Q., & Zeng, Y. (2014) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2014.06.006 · Cited by 74
Observer-based finite-time H∞ control of discrete-time Markovian jump systems
Zhang, Y., & Liu, C. (2012) · Applied Mathematical Modelling · doi:10.1016/j.apm.2012.07.060 · Cited by 47
Zhang, Y., Lim, C., & Liu, F. (2018) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2018.01.035 · Cited by 35
Self-citationStable receding-horizon scenario predictive control for Markov-jump linear systems
Sala, A., Hernández‐Mejías, M. A., & Ariño, C. V. (2017) · Automatica · doi:10.1016/j.automatica.2017.07.032 · Cited by 20
Finite‐time self‐triggered model predictive control of discrete‐time Markov jump linear systems
He, P. F., Wen, J., Luan, X., & Liu, F. (2021) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.5603 · Cited by 12
Self-citationLi, J., Wang, Q., Su, Y., & Sun, C. (2021) · Frontiers of Information Technology & Electronic Engineering · doi:10.1631/fitee.2000182 · Cited by 11
Self-triggered model predictive control of discrete-time Markov jump linear systems
He, P. F., Wen, J., Luan, X., & Liu, F. (2021) · International Journal of Control · doi:10.1080/00207179.2021.2013542 · Cited by 6
Self-citationSwitching predictive control for continuous-time Markovian jump delay systems
Wen, J., & Peng, L. (2017) · International Journal of Control Automation and Systems · doi:10.1007/s12555-016-0066-y · Cited by 4
Self-citation
Research works printed but not linked: 3
- Pardoux, 2008, Vol. 796
- Velasco, 2003, The self triggered task model for real-time control systems, vol. 384
- Zeng, 2021, Event-triggered and self-triggered L∞ control for Markov jump stochastic nonlinear systems under dos attacks, IEEE Trans. Cybern.
Cited by
Finite-Time Adaptive Fuzzy Backstepping Control for Quadrotor UAV With Stochastic Disturbance
Yu, D., Ma, S., Liu, Y., Wang, Z., & Chen, C. L. P. (2023) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3282661 · Cited by 162
Tan, Y., Liu, J., Xie, X., Tian, E., & Liu, J. (2024) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3349150 · Cited by 110
Self-triggered finite-time control for discrete-time Markov jump systems
Wan, H., Luan, X., Stojanović, V., & Liu, F. (2023) · Information Sciences · doi:10.1016/j.ins.2023.03.070 · Cited by 104
Self-citationWang, K., Mu, C., Ni, Z., & Liu, D. (2023) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3299275 · Cited by 89
Adversarial dynamic games for Markov jump systems: A policy iteration Q-learning method
Shen, H., Wu, J., Wang, J., & Wu, Z. (2025) · Automatica · doi:10.1016/j.automatica.2025.112591 · Cited by 79
Metadata
- Authors
- He, P., Wen, J., Stojanovic, V., Liu, F., & Luan, X.
- Affiliations
- Jiangnan University (CN)
- Corresponding author
- Luan, Xiaoli
- Venue
- Journal of the Franklin Institute
- Publisher
- Elsevier BV
- Published
- 2022-09
- Volume
- 359
- Issue
- 13
- Pages
- 6939-6957
- ISSN
- 0016-0032 (ISSN-L)
- OpenAlex
- W4283741465
- Cited by
- 122
- References
- 27
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 42 · 2023: 60 · 2022: 2
- FWCI
- 11.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Locations
- Journal of the Franklin Institute (publishedVersion)
- Funders
- Higher Education Discipline Innovation Project (B12018)
- National Natural Science Foundation of China (61833007, 61991402, 62073154)
- Jiangnan University
- Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja (451-03-68/2022-14/200108)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Design
- Keywords
- finite-time control, computational burden reduction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
