Neuroadaptive robust control of automatic train operation subject to actuator saturation

Shigen Gao; Hairong Dong; Bin Ning; Guanrong Chen; Yao Chen; Qingwen Liang

doi:10.1109/ASCC.2013.6606093

Neuroadaptive robust control of automatic train operation subject to actuator saturation

Shigen Gao, Hairong Dong, Bin Ning, Guanrong Chen, Yao Chen, Qingwen Liang

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

In this paper, neuroadaptive robust control problem for the automatic train operation (ATO) system under actuator saturation is considered. The saturation is caused by constraints from serving motors. A neuroadaptive robust control scheme is proposed. To cope with the actuator saturation, another neuroad-aptive robust control scheme is proposed for the ATO system, by explicitly considering the actuator saturation nonlinearity other than unknown system parameters, which is proved capable of stabilizing the closed-loop system. The effectiveness of the proposed control schemes are verified via numerical simulations. © 2013 IEEE.

Original language	English
Title of host publication	2013 9th Asian Control Conference, ASCC 2013
DOIs	https://doi.org/10.1109/ASCC.2013.6606093
Publication status	Published - 2013
Event	2013 9th Asian Control Conference, ASCC 2013 - Istanbul, Türkiye Duration: 23 Jun 2013 → 26 Jun 2013

Conference

Conference	2013 9th Asian Control Conference, ASCC 2013
Place	Türkiye
City	Istanbul
Period	23/06/13 → 26/06/13

Access Output

10.1109/ASCC.2013.6606093

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{f2be950250774aed81c887900cb19b48,

title = "Neuroadaptive robust control of automatic train operation subject to actuator saturation",

abstract = "In this paper, neuroadaptive robust control problem for the automatic train operation (ATO) system under actuator saturation is considered. The saturation is caused by constraints from serving motors. A neuroadaptive robust control scheme is proposed. To cope with the actuator saturation, another neuroad-aptive robust control scheme is proposed for the ATO system, by explicitly considering the actuator saturation nonlinearity other than unknown system parameters, which is proved capable of stabilizing the closed-loop system. The effectiveness of the proposed control schemes are verified via numerical simulations. {\textcopyright} 2013 IEEE.",

author = "Shigen Gao and Hairong Dong and Bin Ning and Guanrong Chen and Yao Chen and Qingwen Liang",

year = "2013",

doi = "10.1109/ASCC.2013.6606093",

language = "English",

isbn = "9781467357692",

booktitle = "2013 9th Asian Control Conference, ASCC 2013",

note = "2013 9th Asian Control Conference, ASCC 2013 ; Conference date: 23-06-2013 Through 26-06-2013",

}

TY - GEN

T1 - Neuroadaptive robust control of automatic train operation subject to actuator saturation

AU - Gao, Shigen

AU - Dong, Hairong

AU - Ning, Bin

AU - Chen, Guanrong

AU - Chen, Yao

AU - Liang, Qingwen

PY - 2013

Y1 - 2013

N2 - In this paper, neuroadaptive robust control problem for the automatic train operation (ATO) system under actuator saturation is considered. The saturation is caused by constraints from serving motors. A neuroadaptive robust control scheme is proposed. To cope with the actuator saturation, another neuroad-aptive robust control scheme is proposed for the ATO system, by explicitly considering the actuator saturation nonlinearity other than unknown system parameters, which is proved capable of stabilizing the closed-loop system. The effectiveness of the proposed control schemes are verified via numerical simulations. © 2013 IEEE.

AB - In this paper, neuroadaptive robust control problem for the automatic train operation (ATO) system under actuator saturation is considered. The saturation is caused by constraints from serving motors. A neuroadaptive robust control scheme is proposed. To cope with the actuator saturation, another neuroad-aptive robust control scheme is proposed for the ATO system, by explicitly considering the actuator saturation nonlinearity other than unknown system parameters, which is proved capable of stabilizing the closed-loop system. The effectiveness of the proposed control schemes are verified via numerical simulations. © 2013 IEEE.

UR - http://www.scopus.com/inward/record.url?scp=84886562925&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84886562925&origin=recordpage

U2 - 10.1109/ASCC.2013.6606093

DO - 10.1109/ASCC.2013.6606093

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781467357692

BT - 2013 9th Asian Control Conference, ASCC 2013

T2 - 2013 9th Asian Control Conference, ASCC 2013

Y2 - 23 June 2013 through 26 June 2013

ER -

Neuroadaptive robust control of automatic train operation subject to actuator saturation

Abstract

Conference

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this