Data-driven nonlinear adaptive optimal control of connected vehicles

Weinan Gao; Zhong Ping Jiang

doi:10.1007/978-3-319-70136-3_13

Data-driven nonlinear adaptive optimal control of connected vehicles

Weinan Gao, Zhong Ping Jiang

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper studies the cooperative adaptive cruise control (CACC) problem of connected vehicles with unknown nonlinear dynamics. Different from the existing literature on CACC, a data-driven optimal control policy is developed by global adaptive dynamic programming (GADP). Interestingly, the developed control policy achieves global stabilization of the nonlinear vehicular platoon system in the absence of the a priori knowledge of system dynamics. Numerical simulation results are presented to validate the effectiveness of the developed approach.

Original language	English (US)
Title of host publication	Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings
Editors	Derong Liu, Shengli Xie, Dongbin Zhao, Yuanqing Li, El-Sayed M. El-Alfy
Publisher	Springer Verlag
Pages	122-129
Number of pages	8
ISBN (Print)	9783319701356
DOIs	https://doi.org/10.1007/978-3-319-70136-3_13
State	Published - Jan 1 2017
Event	24th International Conference on Neural Information Processing, ICONIP 2017 - Guangzhou, China Duration: Nov 14 2017 → Nov 18 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10639 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	24th International Conference on Neural Information Processing, ICONIP 2017
Country	China
City	Guangzhou
Period	11/14/17 → 11/18/17

Fingerprint

Keywords

Connected and autonomous vehicles
Cooperative adaptive cruise control
Global adaptive dynamic programming
Nonlinear optimal control

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Cite this

Gao, W., & Jiang, Z. P. (2017). Data-driven nonlinear adaptive optimal control of connected vehicles. In D. Liu, S. Xie, D. Zhao, Y. Li, & E-S. M. El-Alfy (Eds.), Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings (pp. 122-129). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10639 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-70136-3_13

Data-driven nonlinear adaptive optimal control of connected vehicles. / Gao, Weinan; Jiang, Zhong Ping.

Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. ed. / Derong Liu; Shengli Xie; Dongbin Zhao; Yuanqing Li; El-Sayed M. El-Alfy. Springer Verlag, 2017. p. 122-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10639 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gao, W & Jiang, ZP 2017, Data-driven nonlinear adaptive optimal control of connected vehicles. in D Liu, S Xie, D Zhao, Y Li & E-SM El-Alfy (eds), Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10639 LNCS, Springer Verlag, pp. 122-129, 24th International Conference on Neural Information Processing, ICONIP 2017, Guangzhou, China, 11/14/17. https://doi.org/10.1007/978-3-319-70136-3_13

Gao W, Jiang ZP. Data-driven nonlinear adaptive optimal control of connected vehicles. In Liu D, Xie S, Zhao D, Li Y, El-Alfy E-SM, editors, Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. Springer Verlag. 2017. p. 122-129. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-70136-3_13

Gao, Weinan ; Jiang, Zhong Ping. / Data-driven nonlinear adaptive optimal control of connected vehicles. Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. editor / Derong Liu ; Shengli Xie ; Dongbin Zhao ; Yuanqing Li ; El-Sayed M. El-Alfy. Springer Verlag, 2017. pp. 122-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{e8818963ddec4bda88f467b2d6f2a6e6,

title = "Data-driven nonlinear adaptive optimal control of connected vehicles",

abstract = "This paper studies the cooperative adaptive cruise control (CACC) problem of connected vehicles with unknown nonlinear dynamics. Different from the existing literature on CACC, a data-driven optimal control policy is developed by global adaptive dynamic programming (GADP). Interestingly, the developed control policy achieves global stabilization of the nonlinear vehicular platoon system in the absence of the a priori knowledge of system dynamics. Numerical simulation results are presented to validate the effectiveness of the developed approach.",

keywords = "Connected and autonomous vehicles, Cooperative adaptive cruise control, Global adaptive dynamic programming, Nonlinear optimal control",

author = "Weinan Gao and Jiang, {Zhong Ping}",

year = "2017",

month = jan

day = "1",

doi = "10.1007/978-3-319-70136-3_13",

language = "English (US)",

isbn = "9783319701356",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "122--129",

editor = "Derong Liu and Shengli Xie and Dongbin Zhao and Yuanqing Li and El-Alfy, {El-Sayed M.}",

booktitle = "Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings",

note = "24th International Conference on Neural Information Processing, ICONIP 2017 ; Conference date: 14-11-2017 Through 18-11-2017",

}

TY - GEN

T1 - Data-driven nonlinear adaptive optimal control of connected vehicles

AU - Gao, Weinan

AU - Jiang, Zhong Ping

PY - 2017/1/1

Y1 - 2017/1/1

N2 - This paper studies the cooperative adaptive cruise control (CACC) problem of connected vehicles with unknown nonlinear dynamics. Different from the existing literature on CACC, a data-driven optimal control policy is developed by global adaptive dynamic programming (GADP). Interestingly, the developed control policy achieves global stabilization of the nonlinear vehicular platoon system in the absence of the a priori knowledge of system dynamics. Numerical simulation results are presented to validate the effectiveness of the developed approach.

AB - This paper studies the cooperative adaptive cruise control (CACC) problem of connected vehicles with unknown nonlinear dynamics. Different from the existing literature on CACC, a data-driven optimal control policy is developed by global adaptive dynamic programming (GADP). Interestingly, the developed control policy achieves global stabilization of the nonlinear vehicular platoon system in the absence of the a priori knowledge of system dynamics. Numerical simulation results are presented to validate the effectiveness of the developed approach.

KW - Connected and autonomous vehicles

KW - Cooperative adaptive cruise control

KW - Global adaptive dynamic programming

KW - Nonlinear optimal control

UR - http://www.scopus.com/inward/record.url?scp=85035104383&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85035104383&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-70136-3_13

DO - 10.1007/978-3-319-70136-3_13

M3 - Conference contribution

AN - SCOPUS:85035104383

SN - 9783319701356

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 122

EP - 129

BT - Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings

A2 - Liu, Derong

A2 - Xie, Shengli

A2 - Zhao, Dongbin

A2 - Li, Yuanqing

A2 - El-Alfy, El-Sayed M.

PB - Springer Verlag

T2 - 24th International Conference on Neural Information Processing, ICONIP 2017

Y2 - 14 November 2017 through 18 November 2017

ER -

Access to Document

10.1007/978-3-319-70136-3_13