A human-inspired subgoal-based approach to constrained optimal control

Andrew Feit; Abhishek Verma; Berenice F Mettler May

doi:10.1109/CDC.2015.7402389

A human-inspired subgoal-based approach to constrained optimal control

Andrew Feit, Abhishek Verma, Berenice F Mettler May

Aerospace Engineering and Mechanics

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

2 Scopus citations

Abstract

This paper investigates the application of human motion guidance principles to the development of an autonomous guidance process. Primarily, it extends previous work, which identifies the organization of human guidance performance given by trajectory data. First, the paper describes interaction patterns (IP), subgoals, and partitions and defines these elements in terms of control theoretical concepts. Second, IPs are applied to form a computational solution to a constrained optimal control problem and simulation results demonstrate that this approach produces feasible solutions. Finally, first-person human experimental results are provided to validate theoretical concepts.

Original language	English (US)
Title of host publication	54rd IEEE Conference on Decision and Control,CDC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1289-1296
Number of pages	8
ISBN (Electronic)	9781479978861
DOIs	https://doi.org/10.1109/CDC.2015.7402389
State	Published - Feb 8 2015
Event	54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan Duration: Dec 15 2015 → Dec 18 2015

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	54rd IEEE Conference on Decision and Control,CDC 2015
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Other

Other	54th IEEE Conference on Decision and Control, CDC 2015
Country/Territory	Japan
City	Osaka
Period	12/15/15 → 12/18/15

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Publisher Copyright:
© 2015 IEEE.

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10.1109/CDC.2015.7402389

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Feit, A., Verma, A., & Mettler May, B. F. (2015). A human-inspired subgoal-based approach to constrained optimal control. In 54rd IEEE Conference on Decision and Control,CDC 2015 (pp. 1289-1296). Article 7402389 (Proceedings of the IEEE Conference on Decision and Control; Vol. 54rd IEEE Conference on Decision and Control,CDC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2015.7402389

A human-inspired subgoal-based approach to constrained optimal control. / Feit, Andrew; Verma, Abhishek; Mettler May, Berenice F.
54rd IEEE Conference on Decision and Control,CDC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1289-1296 7402389 (Proceedings of the IEEE Conference on Decision and Control; Vol. 54rd IEEE Conference on Decision and Control,CDC 2015).

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

Feit, A, Verma, A & Mettler May, BF 2015, A human-inspired subgoal-based approach to constrained optimal control. in 54rd IEEE Conference on Decision and Control,CDC 2015., 7402389, Proceedings of the IEEE Conference on Decision and Control, vol. 54rd IEEE Conference on Decision and Control,CDC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1289-1296, 54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, 12/15/15. https://doi.org/10.1109/CDC.2015.7402389

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A human-inspired subgoal-based approach to constrained optimal control

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