Neural-Network-State-Observation-Based Adaptive Inversion Control Method of Maglev Train-Reference-Cited by-同舟云学术

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Neural-Network-State-Observation-Based Adaptive Inversion Control Method of Maglev Train

Published:2022-04 Issue:4 Volume:71 Page:3660-3669
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Chen Chen¹^ORCID,Xu Junqi²^ORCID,Rong Lijun²^ORCID,Ji Wen²,Lin Guobin²,Sun Yougang³^ORCID

Affiliation:

1. Key Laboratory of Road and Traffic Engineering of the State Ministry of Education, Tongji University, Shanghai, China

2. National Maglev Transportation Engineering R&D Center, Tongji University, Shanghai, China

3. Institute of Rail Transit, Tongji University, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/9765825/09678065.pdf?arnumber=9678065

Reference28 articles.

1. Fuzzy adaptive two‐bits‐triggered control for nonlinear uncertain system with input saturation and output constraint

2. Adaptive Neural Command Filtering Control for Nonlinear MIMO Systems With Saturation Input and Unknown Control Direction

3. Neural Network Control of a Rehabilitation Robot by State and Output Feedback

4. Analysis and experimental study on the MAGLEV vehicle-guideway interaction based on the full-state feedback theory

5. Internet of Things-Based Online Condition Monitor and Improved Adaptive Fuzzy Control for a Medium-Low-Speed Maglev Train System

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