Optimal control of nonlinear systems using experience inference human-behavior learning

dc.contributor.authorPerrusquía, Adolfo
dc.contributor.authorGuo, Weisi
dc.date.accessioned2022-09-30T09:17:18Z
dc.date.available2022-09-30T09:17:18Z
dc.date.issued2022-09-23
dc.description.abstractSafety critical control is often trained in a simulated environment to mitigate risk. Subsequent migration of the biased controller requires further adjustments. In this paper, an experience inference human-behavior learning is proposed to solve the migration problem of optimal controllers applied to real-world nonlinear systems. The approach is inspired in the complementary properties that exhibits the hippocampus, the neocortex, and the striatum learning systems located in the brain. The hippocampus defines a physics informed reference model of the real-world nonlinear system for experience inference and the neocortex is the adaptive dynamic programming (ADP) or reinforcement learning (RL) algorithm that ensures optimal performance of the reference model. This optimal performance is inferred to the real-world nonlinear system by means of an adaptive neocortex/striatum control policy that forces the nonlinear system to behave as the reference model. Stability and convergence of the proposed approach is analyzed using Lyapunov stability theory. Simulation studies are carried out to verify the approach.en_UK
dc.identifier.citationPerrusquia A, Guo W. (2023) Optimal control of nonlinear systems using experience inference human-behavior learning. IEEE CAA Journal of Automatica Sinica, Volume 10, Issue 1, January 2023, pp. 1-13en_UK
dc.identifier.issn2329-9266
dc.identifier.urihttps://doi.org/10.1109/JAS.2022.000000
dc.identifier.urihttps://www.ieee-jas.net/en/article/id/248bb6ca-c2c5-4e10-b432-4d1ca8abc1bf
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18495
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectexperience Inferenceen_UK
dc.subjectNonlinear Systemsen_UK
dc.subjectLinear Time-Variant (LTV) systemsen_UK
dc.subjectOptimal controlen_UK
dc.subjectHippocampus learning systemen_UK
dc.subjectNeocortex/Striatum Learning systemsen_UK
dc.titleOptimal control of nonlinear systems using experience inference human-behavior learningen_UK
dc.typeArticleen_UK

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