Cargando…
Parametric Neural Network-Based Model Free Adaptive Tracking Control Method and Its Application to AFS/DYC System
This paper deals with adaptive nonlinear identification and trajectory tracking problem for model free nonlinear systems via parametric neural network (PNN). Firstly, a more effective PNN identifier is developed to obtain the unknown system dynamics, where a parameter error driven updating law is sy...
Autores principales: | Fu, Zhijun, Lu, Yan, Zhou, Fang, Guo, Yaohua, Guo, Pengyan, Feng, Heyang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758307/ https://www.ncbi.nlm.nih.gov/pubmed/35035458 http://dx.doi.org/10.1155/2022/4579263 |
Ejemplares similares
-
Coordinated Optimal Control of AFS and DYC for Four-Wheel Independent Drive Electric Vehicles Based on MAS Model
por: Zhang, Niaona, et al.
Publicado: (2023) -
Genome Sequence of Novel Clostridium perfringens Bacteriophage vB_CpeS-17DYC, Isolated from Wastewater in China
por: Nazir, Amina, et al.
Publicado: (2023) -
The Lateral Tracking Control for the Intelligent Vehicle Based on Adaptive PID Neural Network
por: Han, Gaining, et al.
Publicado: (2017) -
Neural Survival Clustering: Non-parametric mixture of neural networks for survival clustering
por: Jeanselme, Vincent, et al.
Publicado: (2022) -
Improving Parametric Neural Networks for High-Energy Physics (and Beyond)
por: Anzalone, Luca, et al.
Publicado: (2022)