Online Inverse Optimal Control on Infinite Horizons

Timothy L. Molloy, Jason J. Ford, Tristan Perez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Citations (Scopus)

Abstract

In this paper, we consider the problem of computing parameters of a discrete-time infinite-horizon optimal control objective function from (possibly finite-length) state and control sequences. To solve this problem, we propose a novel method of inverse optimal control by exploiting a recently established infinite-horizon discrete-time minimum principle. Our proposed method admits a computationally efficient online implementation in which pairs of states and controls from the state and control sequences are processed sequentially without being stored or processed as a batch. We establish conditions guaranteeing the uniqueness of the cost-function parameters computed by our proposed method and illustrate its application in simulation.

Original languageEnglish
Title of host publication2018 IEEE Conference on Decision and Control, CDC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1663-1668
Number of pages6
ISBN (Electronic)9781538613955
DOIs
Publication statusPublished - 2 Jul 2018
Externally publishedYes
Event57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States
Duration: 17 Dec 201819 Dec 2018

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2018-December
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference57th IEEE Conference on Decision and Control, CDC 2018
Country/TerritoryUnited States
CityMiami
Period17/12/1819/12/18

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