Optimization approaches for controller and schedule codesign in networked control

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dc.contributor.author Longo, Stefano
dc.contributor.author Herrmann, Guido
dc.contributor.author Barber, Phil
dc.date.accessioned 2019-04-11T17:29:05Z
dc.date.available 2019-04-11T17:29:05Z
dc.date.issued 2009-06-17
dc.identifier.citation Stefano Longo, Guido Herrmann and Phil Barber. Optimization approaches for controller and schedule codesign in networked control. IFAC Proceedings Volumes, Volume 42, Issue 6, 2009, pp. 301-306 en_UK
dc.identifier.issn 1474-6670
dc.identifier.uri https://doi.org/10.3182/20090616-3-IL-2002.00052
dc.identifier.uri https://dspace.lib.cranfield.ac.uk/handle/1826/14066
dc.description.abstract We consider the offline optimization of a sequence for communication scheduling in networked control systems. Given a continuous-time Linear Quadratic Regulator (LQR) problem we design a sampled-data periodic controller based on the continuous time LQR controller that takes into account the limited communication medium and inter-sampling behavior. To allow for a Riccati equation approach, singularities in the weighting matrices and time-variance are accounted for using a lifting approach. Optimal scheduling can be obtained by solving a complex combinatorial optimization problem. Two stochastic algorithms will be proposed to find a (sub)optimal sequence and the associated optimal controller which is the result of a discrete algebraic Riccati equation for the given optimal sequence. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.title Optimization approaches for controller and schedule codesign in networked control en_UK
dc.type Article en_UK

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