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Natural Computing

Optimal and suboptimal regional control of probabilistic cellular automata

  • 05-10-2019
Published in:
Authors
Franco Bagnoli
Sara Dridi
Samira El Yacoubi
Raúl Rechtman
Published in
Natural Computing | Issue 4/2019

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Abstract

Probabilistic cellular automata are extended stochastic systems, widely used for modelling phenomena in many disciplines. The possibility of controlling their behaviour is therefore an important topic. We shall present here an approach to the problem of controlling such systems by acting only on the boundary of a target region. In particular we are interested in optimal control, which is rather demanding in computational terms, so we present also a less demanding suboptimal method. Finally, we present an example of optimal control with avoidance.

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previous article State-efficient realization of fault-tolerant FSSP algorithms
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Title
Optimal and suboptimal regional control of probabilistic cellular automata
Authors
Franco Bagnoli
Sara Dridi
Samira El Yacoubi
Raúl Rechtman
Publication date
05-10-2019
Publisher
Springer Netherlands
Published in
Natural Computing / Issue 4/2019
Print ISSN: 1567-7818
Electronic ISSN: 1572-9796
DOI
https://doi.org/10.1007/s11047-019-09763-5
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