Research on Fuzzy Adaptive Model Predictive Control Methodology for Heavy-Haul Trains
The locomotive autonomous operation system is characterized by its inherent nonlinear and time-varying nature. Operating trains encounter a diverse range of track conditions, which necessitates not only predictive control but also the dynamic adjustment of controller parameters to adapt to these var...
Saved in:
| Main Authors: | YI Jie, JIANG Fan, LUO Yuan, ZHANG Zhengfang, BAI Jinlei, ZHONG Puhua |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2024-08-01
|
| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2024.04.005 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on Key Technologies and Issues of Locomotive Automatic Operation
by: HU Yunqing, et al.
Published: (2024-08-01) -
Research on Multi-Mass Safety Braking Model for Heavy-Haul Trains Based on Random Distribution of Parameters
by: BAI Jinlei, et al.
Published: (2024-08-01) -
Research on Decision-Making for Automatic Operation of Heavy-Haul Trains in Automatic Block Sections
by: ZHANG Zhengfang, et al.
Published: (2024-08-01) -
Research on Operation Curve Planning Technology Adaptive to Undulating Tracks for Heavy-Haul Trains
by: JIANG Jie, et al.
Published: (2024-08-01) -
A Planning Method of Automatic Driving Control Curve for Heavy Haul Train
by: ZHONG Puhua, et al.
Published: (2021-01-01)