Near optimal control of mobile robot formations

Travis Dierks; Bryan Brenner; S. Jagannathan

doi:10.1109/ADPRL.2011.5967369

Near optimal control of mobile robot formations

Travis Dierks
, Bryan Brenner
, S. Jagannathan

Electrical and Computer Engineering

DRS Sustainment Systems Inc.
Missouri University of Science and Technology

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

Original language	English
Title of host publication	IEEE SSCI 2011
Subtitle of host publication	Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning
Pages	234-241
Number of pages	8
DOIs	https://doi.org/10.1109/ADPRL.2011.5967369
State	Published - 2011
Event	Symposium Series on Computational Intelligence, IEEE SSCI2011 - 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2011 - Paris, France Duration: Apr 11 2011 → Apr 15 2011

Publication series

Name	IEEE SSCI 2011: Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning

Conference

Conference	Symposium Series on Computational Intelligence, IEEE SSCI2011 - 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2011
Country/Territory	France
City	Paris
Period	4/11/11 → 4/15/11

ASJC Scopus Subject Areas

Computer Science Applications
Software

Keywords

ADP
Formation Control
Multi-Agent System Control
Nonlinear Optimal Control
Optimal Control

Access to Document

10.1109/ADPRL.2011.5967369

Cite this

Dierks, T., Brenner, B., & Jagannathan, S. (2011). Near optimal control of mobile robot formations. In IEEE SSCI 2011: Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (pp. 234-241). Article 5967369 (IEEE SSCI 2011: Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning). https://doi.org/10.1109/ADPRL.2011.5967369

Near optimal control of mobile robot formations. / Dierks, Travis; Brenner, Bryan; Jagannathan, S.
IEEE SSCI 2011: Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning. 2011. p. 234-241 5967369 (IEEE SSCI 2011: Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning).

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

Dierks, T, Brenner, B & Jagannathan, S 2011, Near optimal control of mobile robot formations. in IEEE SSCI 2011: Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning., 5967369, IEEE SSCI 2011: Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, pp. 234-241, Symposium Series on Computational Intelligence, IEEE SSCI2011 - 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2011, Paris, France, 4/11/11. https://doi.org/10.1109/ADPRL.2011.5967369

Dierks T, Brenner B, Jagannathan S. Near optimal control of mobile robot formations. In IEEE SSCI 2011: Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning. 2011. p. 234-241. 5967369. (IEEE SSCI 2011: Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning). doi: 10.1109/ADPRL.2011.5967369

Dierks, Travis ; Brenner, Bryan ; Jagannathan, S. / Near optimal control of mobile robot formations. IEEE SSCI 2011: Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning. 2011. pp. 234-241 (IEEE SSCI 2011: Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning).

@inproceedings{bab9255f29df4f96892a2f505f427d78,

title = "Near optimal control of mobile robot formations",

keywords = "ADP, Formation Control, Multi-Agent System Control, Nonlinear Optimal Control, Optimal Control",

author = "Travis Dierks and Bryan Brenner and S. Jagannathan",

year = "2011",

doi = "10.1109/ADPRL.2011.5967369",

language = "English",

isbn = "9781424498888",

series = "IEEE SSCI 2011: Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning",

pages = "234--241",

booktitle = "IEEE SSCI 2011",

note = "Symposium Series on Computational Intelligence, IEEE SSCI2011 - 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2011 ; Conference date: 11-04-2011 Through 15-04-2011",

}

TY - GEN

T1 - Near optimal control of mobile robot formations

AU - Dierks, Travis

AU - Brenner, Bryan

AU - Jagannathan, S.

PY - 2011

Y1 - 2011

KW - ADP

KW - Formation Control

KW - Multi-Agent System Control

KW - Nonlinear Optimal Control

KW - Optimal Control

UR - https://www.scopus.com/pages/publications/80052258182

UR - https://www.scopus.com/pages/publications/80052258182#tab=citedBy

U2 - 10.1109/ADPRL.2011.5967369

DO - 10.1109/ADPRL.2011.5967369

M3 - Conference contribution

AN - SCOPUS:80052258182

SN - 9781424498888

T3 - IEEE SSCI 2011: Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning

SP - 234

EP - 241

BT - IEEE SSCI 2011

T2 - Symposium Series on Computational Intelligence, IEEE SSCI2011 - 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2011

Y2 - 11 April 2011 through 15 April 2011

ER -

Near optimal control of mobile robot formations

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Fingerprint

Cite this