The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Preassigned-Time Sliding-Mode Control of Chaotic Memristive Neural Networks With Time-Varying Delays
Abstract
Preassigned-time (PASST) control of memrisitive neural networks has been a hot research point recently. Different from the finite-time control with stable time dependent on the initial condition of the system, this paper studies the PASST control, and the stable time of which is uncorrelated with the initial condition and can be set in advance. For a class of chaotic memristive neural networks with time delays, a sliding-mode based approach is designed to realize the PASST stability. Different from the finite-time stability, the upper bound of stable time is not related to or constricted by the initial condition, and it can be arbitrarily defined for practical requirement. Moreover, as the special cases, the exponential stability and fixed-time stability are also presented via the same framework of the sliding-mode based approach. Finally, a chaotic numerical example with several comparative cases are given to verify the validity of the control method of PASST stability results.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Strukov, D. B., Snider, G. S., Stewart, D. R., & Williams, R. S. (2008) · Nature · doi:10.1038/nature06932 · Cited by 11,828 · cited 1×
“S INCE the memristor was first proposed by Professor Chua [1] and experimentally confirmed by HP laboratory [2], it has attracted extensive research.”
Memristor—The Missing Circuit Element
Chua, L. (1971) · IEEE Transactions on Circuit Theory · doi:10.1109/tct.1971.1083337 · Cited by 10,268 · cited 1×
“S INCE the memristor was first proposed by Professor Chua [1] and experimentally confirmed by HP laboratory [2], it has attracted extensive research.”
Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems
Polyakov, A. (2011) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2011.2179869 · Cited by 5,309
Fixed/Preassigned-Time Synchronization of Complex Networks via Improving Fixed-Time Stability
Hu, C., He, H., & Jiang, H. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.2977934 · Cited by 390
Memristor Bridge Synapse-Based Neural Network and Its Learning
Adhikari, S. P., Yang, C., Kim, H., & Chua, L. O. (2012) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2012.2204770 · Cited by 387
Finite-time stability and stabilization of time-delay systems
Moulay, E., Dambrine, M., Yeganefar, N., & Perruquetti, W. (2008) · Systems & Control Letters · doi:10.1016/j.sysconle.2007.12.002 · Cited by 366
Review on chaotic dynamics of memristive neuron and neural network
Lin, H., Wang, C., Deng, Q., Xu, C., Deng, Z., & Zhou, C. (2021) · Nonlinear Dynamics · doi:10.1007/s11071-021-06853-x · Cited by 306
Wang, J., Wang, D., Yan, H., et al. (2023) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2023.3326861 · Cited by 281
Shen, H. Y., Zhao, W. L., Cao, J., et al. (2024) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2024.3403917 · Cited by 244
Shen, H., Wang, Y., Wu, J., Park, J. H., & Wang, J. (2024) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2024.3448407 · Cited by 164
Wang, L., Zeng, Z., & Ge, M. (2019) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2018.2888867 · Cited by 141
Self-citationOn predefined-time synchronisation of chaotic systems
Anguiano‐Gijón, C. A., Muñoz‐Vázquez, A. J., Sánchez‐Torres, J. D., et al. (2019) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2019.03.015 · Cited by 133
Finite-/Fixed-Time Synchronization of Memristor Chaotic Systems and Image Encryption Application
Wang, L., Jiang, S., Ge, M., Hu, C., & Hu, J. (2021) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2021.3121555 · Cited by 128
Self-citationGan, Q., Li, L., Yang, J., Qin, Y., & Meng, M. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3070966 · Cited by 126
Wang, L., & Zhang, C. (2022) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3176887 · Cited by 107
Self-citationFinite-Time Synchronization of Memristive Neural Networks With Fractional-Order
Yang, S., Yu, J., Hu, C., & Jiang, H. (2019) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2019.2931046 · Cited by 97
Hu, X., Wang, L., Zhang, C., et al. (2024) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2024.3349599 · Cited by 69
Self-citationResistance Switching Memories are Memristors
Chua, L. O. (2019) · Springer eBooks · doi:10.1007/978-3-319-76375-0_6 · Cited by 56
Finite/fixed-time synchronization control of coupled memristive neural networks
Li, J., Jiang, H., Hu, C., & Alsaedi, A. (2019) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2019.09.015 · Cited by 45
Fixed-/Preassigned-time stabilization of delayed memristive neural networks
Li, H., Hu, C., Zhang, G., Hu, J., & Wang, L. (2022) · Information Sciences · doi:10.1016/j.ins.2022.08.011 · Cited by 37
Self-citationWang, Q., Wang, L., Wen, W., Li, Y., & Zhang, G. (2025) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/5.0221159 · Cited by 15
Self-citationGao, J., Chen, X., Qiu, J., et al. (2024) · Neural Processing Letters · doi:10.1007/s11063-024-11669-y · Cited by 7
Flagged first, then by citations
Research works printed but not linked: 1
- Hardy, 1952, Inequalities
Cited by
Still being checked.
Metadata
- Authors
- Gao, G., Ge, H., Wang, G., & Wang, L.
- Affiliations
- Renmin Hospital of Wuhan University (CN)
- China University of Geosciences (CN)
- Venue
- IEEE Transactions on Circuits and Systems II: Express Briefs
- Published
- 2025-06
- Volume
- 72
- Issue
- 6
- Pages
- 823-827
- ISSN
- 1549-7747 (ISSN-L)
- 1558-3791
- OpenAlex
- W4409327448
- Cited by
- 3
- References
- 22
- Citations by year
- 2026: 2 · 2025: 1
- FWCI
- 1.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Circuits & Systems II Express Briefs (publishedVersion)
- Funders
- National Natural Science Foundation of China (62473348)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Neural Networks Stability and Synchronization
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Keywords
- sliding mode control, memristive neural networks, chaotic neural networks, time-varying delays, fixed-time stability, exponential stability, finite-time stability
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
