The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Adaptive Controller Design-Based ABLF for a Class of Nonlinear Time-Varying State Constraint Systems
Abstract
In this paper, we address an adaptive control problem for a class of nonlinear strict-feedback systems with uncertain parameter. The full states of the systems are constrained in the bounded sets and the boundaries of sets are compelled in the asymmetric time-varying regions, i.e., the full state time-varying constraints are considered here. This is for the first time to control such a class of systems. To prevent that the constraints are overstepped, the time-varying asymmetric barrier Lyapunov functions (TABLFs) are employed in each step of the backsstepping design and we also establish a novel control TABLF scheme to ensure the asymptotic output tracking performance. The performances of the adaptive TABLF-based control are verified by a simulation example.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Nonlinear and adaptive control design
Krstić, M., Kokotović, P. V., & Kanellakopoulos, I. (1995) · Cited by 10,421
Barrier Lyapunov Functions for the control of output-constrained nonlinear systems
Tee, K. P., Ge, S. S., & Tay, E. H. (2009) · Automatica · doi:10.1016/j.automatica.2008.11.017 · Cited by 2,912
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
Adaptive Neural Control for Output Feedback Nonlinear Systems Using a Barrier Lyapunov Function
Ren, B., Ge, S. S., Tee, K. P., & Lee, T. H. (2010) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2010.2047115 · Cited by 1,087
Control of nonlinear systems with time-varying output constraints
Tee, K. P., Ren, B., & Ge, S. S. (2011) · Automatica · doi:10.1016/j.automatica.2011.08.044 · Cited by 1,059
Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints
Chen, M., Ge, S. S., & Ren, B. (2011) · Automatica · doi:10.1016/j.automatica.2011.01.025 · Cited by 1,056
Liu, Y.-J., & Tong, S. (2016) · Automatica · doi:10.1016/j.automatica.2015.10.034 · Cited by 883
Self-citationLiu, Y.-J., & Tong, S. (2017) · Automatica · doi:10.1016/j.automatica.2016.10.011 · Cited by 828
Self-citationAdaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation
He, W., Dong, Y., & Sun, C. (2016) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2015.2429555 · Cited by 790
Chen, C. L. P., Wen, G.-X., Liu, Y.-J., & Liu, Z. (2016) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2452217 · Cited by 611
Self-citation
Cited by
Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay
Li, D.-P., Liu, Y.-J., Tong, S., Chen, C. L. P., & Li, D.-J. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2799683 · Cited by 382
Self-citationRISE-Based Asymptotic Prescribed Performance Tracking Control of Nonlinear Servo Mechanisms
Wang, S., Na, J., & Ren, X. (2018) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2017.2769683 · Cited by 159
Li, D.-P., Li, D.-J., Liu, Y.-J., Tong, S., & Chen, C. L. P. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2707178 · Cited by 148
Self-citationYang, G., Wang, H., Chen, J., & Zhang, H. (2020) · Nonlinear Dynamics · doi:10.1007/s11071-020-05921-y · Cited by 27
Yang, G. (2020) · Transactions of the Institute of Measurement and Control · doi:10.1177/0142331219883056 · Cited by 22
Metadata
- Authors
- Liu, Y.-J., Lu, S., Li, D., & Tong, S.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Published
- 2017-07
- Volume
- 47
- Issue
- 7
- Pages
- 1546-1553
- ISSN
- 2168-2216 (ISSN-L)
- 2168-2232
- OpenAlex
- W2563423315
- Cited by
- 284
- References
- 62
- FWCI
- 35.07
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Adaptive Controller Design-Based ABLF for a Class of Nonlinear Time-Varying State Constraint Systems. https://app.cochat.ai/papers/10.1109/tsmc.2016.2633007
- The paper
- Liu, Y.-J., Lu, S., Li, D., & Tong, S. (2017). Adaptive Controller Design-Based ABLF for a Class of Nonlinear Time-Varying State Constraint Systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems. https://doi.org/10.1109/tsmc.2016.2633007
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.