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Fuzzy logic nonzero-sum game-based distributed approximated optimal control of modular robot manipulators with human-robot collaboration
T. An, X. Zhu, M. Zhu, B. Ma and B. Dong
2023
发表期刊Neurocomputing
ISSN09252312
卷号543
摘要In this paper, a fuzzy logic nonzero-sum game-based distributed approximated optimal control scheme is presented for modular robot manipulators (MRMs) with human-robot collaboration (HRC) tasks. The MRM dynamic model is formulated by using joint torque feedback (JTF) technique. Based on the differential game strategy, the optimal control problem of HRC task-oriented MRM systems is transformed into a nonzero-sum game problem of multiple robotic subsystems. By taking advantage of the adaptive dynamic programming (ADP) algorithm, the distributed approximate optimal control policy under HRC tasks is developed by a novel fuzzy logic nonzero-sum game manner for solving the coupled Hamilton–Jacobian (HJ) equation. The trajectory tracking error under HRC task of the closed-loop MRM system is proved to be ultimately uniformly bounded (UUB) using the Lyapunov theory. Finally, experiment results have been presented, which demonstrate the advantage and effectiveness of the developed method. © 2023 Elsevier B.V.
DOI10.1016/j.neucom.2023.126276
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收录类别sci ; ei
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文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/67326
专题中国科学院长春光学精密机械与物理研究所
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T. An, X. Zhu, M. Zhu, B. Ma and B. Dong. Fuzzy logic nonzero-sum game-based distributed approximated optimal control of modular robot manipulators with human-robot collaboration[J]. Neurocomputing,2023,543.
APA T. An, X. Zhu, M. Zhu, B. Ma and B. Dong.(2023).Fuzzy logic nonzero-sum game-based distributed approximated optimal control of modular robot manipulators with human-robot collaboration.Neurocomputing,543.
MLA T. An, X. Zhu, M. Zhu, B. Ma and B. Dong."Fuzzy logic nonzero-sum game-based distributed approximated optimal control of modular robot manipulators with human-robot collaboration".Neurocomputing 543(2023).
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