Robust Scheduling of Sampled-data Networked Control Systems

S Longo, G Herrmann, P Barber

Research output: Contribution to journalArticle (Academic Journal)peer-review

31 Citations (Scopus)

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 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.
Translated title of the contributionRobust Scheduling of Sampled-data Networked Control Systems
Original languageEnglish
Pages (from-to)1613-1621
Number of pages9
JournalIEEE Transactions on Control Systems Technology
Volume20
Issue number6
DOIs
Publication statusPublished - Nov 2012

Keywords

  • Combinatorial optimization
  • hybrid systems
  • H-infinity-norm
  • limited communication
  • networked control systems (NCSs)
  • sampled-data control
  • vehicle control
  • STABILITY
  • OPTIMIZATION
  • VEHICLE
  • DESIGN

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