Design of an Adaptive T–S Fuzzy Sliding Mode Controller for Robot Arm Tracking
Author:
Funder
National Science and Technology Council
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40815-024-01792-2.pdf
Reference24 articles.
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2. Huang, B., Li, Z., Wu, X., Ajoudani, A., Bicchi, A., Liu, J.: Coordination control of a dual-arm exoskeleton robot using human impedance transfer skills. IEEE Trans. Syst. Man Cybern.: Syst. 49(5), 954–963 (2019). https://doi.org/10.1109/TSMC.2017.2706694
3. Gandolfo, D.C., Rossomando, F.G., Soria, C.M., Carelli, R.O.: Adaptive neural compensator for robotic systems control. IEEE Lat. Am. Trans. 17(04), 670–676 (2019). https://doi.org/10.1109/TLA.2019.8891932
4. Hua, C., Wang, Q.-G., Guan, X.: Robust adaptive controller design for nonlinear time-delay systems via T-S fuzzy approach. IEEE Trans. Fuzzy Syst. 17(4), 901–910 (2009). https://doi.org/10.1109/TFUZZ.2008.924351
5. Chen, B.-S., Lee, M.-Y., Lin, T.-H., Zhang, W.: Robust state/fault estimation and fault-tolerant control in discrete-time T-S fuzzy systems: an embedded smoothing signal model approach. IEEE Trans. Cybern. 52(7), 6886–6900 (2022). https://doi.org/10.1109/TCYB.2020.3042984
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