DocumentCode :
1362037
Title :
Robust Scheduling of Sampled-Data Networked Control Systems
Author :
Longo, Stefano ; Herrmann, Guido ; Barber, Phil
Author_Institution :
Department of Electrical and Electronic Engineering, Imperial College London, London, UK
Volume :
20
Issue :
6
fYear :
2012
Firstpage :
1613
Lastpage :
1621
Abstract :
In this brief, we consider the robust (in terms of model uncertainty) off-line scheduling problem for networked control systems (NCSs) with time-triggered communication. We model the NCS as a hybrid switched system and we propose an efficient method to calculate the continuous-time {cal L}_{2} -gain of the resulting closed-loop system for a given communication sequence. Finding a periodic scheduling policy that minimizes this norm is the (combinatorial) optimization problem that is solved by fast stochastic algorithms. A case study of a networked vehicle control system in a hardware-in-the-loop implementation is provided as an example of application.
Keywords :
Networked control systems; Optimization; Robustness; Sampled data systems; Scheduling; ${cal H}_{infty}$-norm; Combinatorial optimization; hybrid systems; limited communication; networked control systems (NCSs); sampled-data control; vehicle control;
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/TCST.2011.2170172
Filename :
6060929
Link To Document :
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