Cargando…
A robust zeroing neural network and its applications to dynamic complex matrix equation solving and robotic manipulator trajectory tracking
Dynamic complex matrix equation (DCME) is frequently encountered in the fields of mathematics and industry, and numerous recurrent neural network (RNN) models have been reported to effectively find the solution of DCME in no noise environment. However, noises are unavoidable in reality, and dynamic...
Autores principales: | Jin, Jie, Zhao, Lv, Chen, Lei, Chen, Weijie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705728/ https://www.ncbi.nlm.nih.gov/pubmed/36457416 http://dx.doi.org/10.3389/fnbot.2022.1065256 |
Ejemplares similares
-
Multilayered hybrid time-varying problem solving based on integrated-enhanced zeroing neural network for robust manipulator control
por: Zhao, Yansong, et al.
Publicado: (2023) -
Robust control for a tracked mobile robot based on a finite-time convergence zeroing neural network
por: Cao, Yuxuan, et al.
Publicado: (2023) -
Trajectory Planning of Robot Manipulator Based on RBF Neural Network
por: Song, Qisong, et al.
Publicado: (2021) -
Adaptive neural PD controllers for mobile manipulator trajectory tracking
por: Hernandez-Barragan, Jesus, et al.
Publicado: (2021) -
Vision for Robust Robot Manipulation
por: Martinez-Martin, Ester, et al.
Publicado: (2019)