Optimal and suboptimal regional control of probabilistic cellular automata
Résumé
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.