Fully Automatic Operation Algorithm of Urban Rail Train Based on RBFNN Position Output Constrained Robust Adaptive Control
High parking accuracy, comfort and stability, and fast response speed are important indicators to measure the control performance of a fully automatic operation system. In this paper, aiming at the problem of low accuracy of the fully automatic operation control of urban rail trains, a radial basis...
Main Authors: | Junxia Yang, Youpeng Zhang, Yuxiang Jin |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/14/9/264 |
Similar Items
-
Optimization of Urban Rail Automatic Train Operation System Based on RBF Neural Network Adaptive Terminal Sliding Mode Fault Tolerant Control
by: Junxia Yang, et al.
Published: (2021-08-01) -
A High Precision Adaptive Back-Stepping Control Method for Morphing Aircraft Based on RBFNN Method
Published: (2020-06-01) -
On-Line Monitoring and Fault Diagnosis of Box Transformer Substation Based on VPRS-RBFNN
by: Erbao Xu*, et al.
Published: (2020-01-01) -
EVALUATION OF GENERATION SYSTEM RELIABILITY INDICES USING RBFNN METHOD
by: Ravindra M. Moharil, et al.
Published: (2021-02-01) -
Comparing of ARIMA and RBFNN for short-term forecasting
by: Haviluddin Haviluddin, et al.
Published: (2015-03-01)