Gaussian process latent force models for learning and stochastic control of physical systems

Särkkä, S., Álvarez, M.A. and Lawrence, N.D. orcid.org/0000-0001-9258-1030 (2019) Gaussian process latent force models for learning and stochastic control of physical systems. IEEE Transactions on Automatic Control, 64 (7). pp. 2953-2960. ISSN 0018-9286

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Item Type: Article
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Keywords: Machine learning; Stochastic optimal control; Stochastic systems; System identification; Kalman filtering
Dates:
  • Published: July 2019
  • Published (online): 8 October 2018
  • Accepted: 12 September 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
EUROPEAN COMMISSION - FP6/FP7
BIOPREDYN - 289434
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)
EP/N014162/1
Depositing User: Symplectic Sheffield
Date Deposited: 09 Oct 2018 14:57
Last Modified: 08 May 2024 13:14
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: 10.1109/TAC.2018.2874749
Open Archives Initiative ID (OAI ID):

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