A closed-loop output error approach for physics-informed trajectory inference using online data

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dc.contributor.authorPerrusquía, Adolfo
dc.contributor.authorGuo, Weisi
dc.date.accessioned2022-09-28T13:19:23Z
dc.date.available2022-09-28T13:19:23Z
dc.date.issued2022-09-21
dc.description.abstractWhile autonomous systems can be used for a variety of beneficial applications, they can also be used for malicious intentions and it is mandatory to disrupt them before they act. So, an accurate trajectory inference algorithm is required for monitoring purposes that allows to take appropriate countermeasures. This article presents a closed-loop output error approach for trajectory inference of a class of linear systems. The approach combines the main advantages of state estimation and parameter identification algorithms in a complementary fashion using online data and an estimated model, which is constructed by the state and parameter estimates, that inform about the physics of the system to infer the followed noise-free trajectory. Exact model matching and estimation error cases are analyzed. A composite update rule based on a least-squares rule is also proposed to improve robustness and parameter and state convergence. The stability and convergence of the proposed approaches are assessed via the Lyapunov stability theory under the fulfilment of a persistent excitation condition. Simulation studies are carried out to validate the proposed approaches.en_UK
dc.identifier.citationPerrusquia A, Guo W. (2023) A closed-loop output error approach for physics-informed trajectory inference using online data. IEEE Transactions on Cybernetics, Volume 53, Issue 3, March 2023, pp. 1379-1391en_UK
dc.identifier.eissn2168-2275
dc.identifier.issn2168-2267
dc.identifier.urihttps://doi.org/10.1109/TCYB.2022.3202864
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18479
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectClosed-loop output error (CLOE)en_UK
dc.subjectexcitation signalen_UK
dc.subjectleast-squares (LSs) composite ruleen_UK
dc.subjectparameter identificationen_UK
dc.subjectphysics-informed modelen_UK
dc.subjectstates measurementsen_UK
dc.subjecttrajectory inferenceen_UK
dc.titleA closed-loop output error approach for physics-informed trajectory inference using online dataen_UK
dc.typeArticleen_UK

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