Finite-horizon inverse optimal control for discrete-time nonlinear systems
| dc.contributor.author | Molloy, Timothy L. | en |
| dc.contributor.author | Ford, Jason J. | en |
| dc.contributor.author | Perez, Tristan | en |
| dc.date.accessioned | 2025-12-16T01:36:52Z | |
| dc.date.available | 2025-12-16T01:36:52Z | |
| dc.date.issued | 2018 | en |
| dc.description.abstract | In this note, we consider the problem of computing the parameters (or weights) of an optimal control objective function given optimal closed-loop state and control trajectories. We establish a method of inverse optimal control that exploits the discrete-time minimum principle. Under a testable matrix rank condition, our proposed method is guaranteed to recover the unknown objective-function parameters of finite-horizon discrete-time nonlinear optimal control problems. | en |
| dc.description.sponsorship | This work was supported by an Australian Research Council Discovery Grant ( DP14010089 ). The material in this paper was partially presented at the 55th IEEE Conference on Decision and Control, December 12–14, 2016, Las Vegas, NV, USA. This paper was recommended for publication in revised form by Associate Editor A. Pedro Aguiar under the direction of Editor André L. Tits. | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 5 | en |
| dc.identifier.issn | 0005-1098 | en |
| dc.identifier.scopus | 85031672377 | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733795250 | |
| dc.language.iso | en | en |
| dc.rights | Publisher Copyright: © 2017 Elsevier Ltd | en |
| dc.source | Automatica | en |
| dc.subject | Discrete-time systems | en |
| dc.subject | Nonlinear systems | en |
| dc.subject | Optimal control | en |
| dc.title | Finite-horizon inverse optimal control for discrete-time nonlinear systems | en |
| dc.type | Journal article | en |
| dspace.entity.type | Publication | en |
| local.bibliographicCitation.lastpage | 446 | en |
| local.bibliographicCitation.startpage | 442 | en |
| local.contributor.affiliation | Molloy, Timothy L.; School of Electrical Engineering and Computer Science | en |
| local.contributor.affiliation | Ford, Jason J.; Queensland University of Technology | en |
| local.contributor.affiliation | Perez, Tristan; Queensland University of Technology | en |
| local.identifier.citationvolume | 87 | en |
| local.identifier.doi | 10.1016/j.automatica.2017.09.023 | en |
| local.identifier.pure | 043edd51-7411-43a8-9425-ec649521a517 | en |
| local.identifier.url | https://www.scopus.com/pages/publications/85031672377 | en |
| local.type.status | Published | en |