Towards probabilistic synchronization of local controllers

Randa Herzallah*, Miroslav Kárný

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The traditional use of global and centralised control methods, fails for large, complex, noisy and highly connected systems,
which typify many real world industrial and commercial systems. This paper provides an efficient bottom up design of distributed control in which many simple components communicate and cooperate to achieve a joint system goal. Each component acts individually so as to maximise personal utility whilst obtaining probabilistic information on the global system merely through local message-passing. This leads to an implied scalable and collective control strategy for complex dynamical systems, without the problems of global centralised control. Robustness is addressed by employing a fully probabilistic design, which can cope with inherent uncertainties, can be implemented adaptively and opens a systematic rich way to information sharing. This paper opens the foreseen direction and inspects the proposed design on a linearised version of coupled map lattice with spatiotemporal chaos. A version close to linear quadratic design gives an initial insight into possible behaviours of such networks.
Original languageEnglish
Pages (from-to)604-615
Number of pages12
JournalInternational Journal of Systems Science
Volume48
Issue number3
Early online date21 Jun 2016
DOIs
Publication statusPublished - Jan 2017

Bibliographical note

This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Systems Science on 21/06/16, available online: http://www.tandfonline.com/10.1080/00207721.2016.1197979.

Keywords

  • cooperative control
  • optimal control
  • complex systems
  • stochastic systems

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