Optimization Approaches for Controller and Schedule Codesign in Networked Control

S Longo, G Herrmann, P Barber

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

14 Citations (Scopus)


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 timevariance are accounted for using a lifting approach. Optimal scheduling can be obtained by solving a complex combinatorial optimization problem and, in contrast to other work, it is considered for the multi-channel case. Two stochastic algorithms, the genetic algorithm and the particle swarm optimization algorithm 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.
Translated title of the contributionOptimization Approaches for Controller and Schedule Codesign in Networked Control
Original languageEnglish
Title of host publication6th IFAC Symposium on Robust Control Design,Haifa, Israel
EditorsMirkin , Leonid
Number of pages6
Publication statusPublished - Jun 2009

Bibliographical note

Name and Venue of Event: Dan Panorama Hotel, Israel
Conference Organiser: International Federation of Automatic Control
Other identifier: 10.3182/20090616-3-IL


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