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Volume 10 Issue 8
Aug.  2023

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2023  >  10(8): 1766-1768
Z. B. Sun, S. J. Tang, J. L. Zhang, and J. Z. Yu, “Nonconvex noise-tolerant neural model for repetitive motion of omnidirectional mobile manipulators,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1766–1768, Aug. 2023. doi: 10.1109/JAS.2023.123273
Citation: Z. B. Sun, S. J. Tang, J. L. Zhang, and J. Z. Yu, “Nonconvex noise-tolerant neural model for repetitive motion of omnidirectional mobile manipulators,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1766–1768, Aug. 2023. doi: 10.1109/JAS.2023.123273
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Nonconvex Noise-Tolerant Neural Model for Repetitive Motion of Omnidirectional Mobile Manipulators

doi: 10.1109/JAS.2023.123273
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    • References(7)
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    L. Jin, X. Zheng, and X. Luo, “Neural dynamics for distributed collaborative control of manipulators with time delays,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 5, pp. 854–863, May 2022. doi: 10.1109/JAS.2022.105446
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    Z. Sun, S. Tang, Y. Zhou, J. Yu, and C. Li, “A GNN for repetitive motion generation of four-wheel omnidirectional mobile manipulator with nonconvex bound constraints,” Information Sciences, vol. 607, pp. 537–552, Aug. 2022. doi: 10.1016/j.ins.2022.06.002
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    L. Wei, L. Jin, C. Yang, K. Chen, and W. Li, “Taylor o(h3) discretization of ZNN models for solving dynamic equality-constrained quadratic programming with application to manipulators,” IEEE Trans. Neural Networks Learning Systems, vol. 27, no. 2, pp. 225–237, Feb. 2016. doi: 10.1109/TNNLS.2015.2435014
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    L. Jin, Y. Zhang, S. Li, and Y. Zhang, “Noise-tolerant znn models for solving time-varying zero-finding problems: A control-theoretic approach,” IEEE Trans. Auto. Control, vol. 62, no. 2, pp. 992–997, May 2017. doi: 10.1109/TAC.2016.2566880
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