Fixed-Time Recurrent NN Learning Control of Uncertain Robotic Manipulators with Time-Varying Constraints: Experimental Verification

This paper proposes a learning control framework for the robotic manipulator’s dynamic tracking task demanding fixed-time convergence and constrained output. In contrast with model-dependent methods, the proposed solution deals with unknown manipulator dynamics and external disturbances by virtue of...

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Detalles Bibliográficos
Autores principales: Shi, Qingxin, Li, Changsheng, He, Rui, Zhu, Xiaolong, Duan, Xingguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10305405/
https://www.ncbi.nlm.nih.gov/pubmed/37420780
http://dx.doi.org/10.3390/s23125614

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10305405/
https://www.ncbi.nlm.nih.gov/pubmed/37420780
http://dx.doi.org/10.3390/s23125614

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