Solving Future Nonlinear Equation System via ZNN and Novel General ILR3S Formula With Multitype Manipulator Applications

The future nonlinear equation system (FNES) problem requires obtaining the future solution by utilizing the current and past information. For industrial applications, such as real-time manipulator control, the FNES problem exists, and has a strong impact on the real-time performance. In this article...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) Jg. 71; H. 10; S. 12623 - 12633
Hauptverfasser:	Fu, Zhuosong, Zhang, Yunong, Li, Weibing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Computational modeling Future nonlinear equation system (FNES) Heuristic algorithms implicit left-and-right 3-step (ILR3S) formula Industrial applications Manipulators Mathematical models Neural networks Nonlinear equations Numerical models Real time Recurrent neural networks Robot arms robot manipulator Tracking control zeroing neural network (ZNN)
ISSN:	0278-0046, 1557-9948
Online-Zugang:	Volltext
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