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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