Cellular automata machines: a new environment for modeling
Cellular automata machines: a new environment for modeling
Sensors and controls in the analysis of distributed systems
Sensors and controls in the analysis of distributed systems
An introduction to infinite-dimensional linear systems theory
An introduction to infinite-dimensional linear systems theory
Models of massive parallelism: analysis of cellular automata and neural networks
Models of massive parallelism: analysis of cellular automata and neural networks
Regional Controllability with Cellular Automata Models
ACRI '01 Proceedings of the 5th International Conference on Cellular Automata for Research and Industry
Regional Observability for Semilinear Distributed Parabolic Systems
Journal of Dynamical and Control Systems
A bi-fluid lattice boltzmann model for water flow in an irrigation channel
ACRI'06 Proceedings of the 7th international conference on Cellular Automata for Research and Industry
Cellular automata modelling and spreadability
Mathematical and Computer Modelling: An International Journal
Controlling the Dynamics of the Fuzzy Cellular Automaton Rule 90, I.
ACRI '08 Proceedings of the 8th international conference on Cellular Automata for Reseach and Industry
Spreadable cellular automata: modelling and simulations
International Journal of Systems Science
| Hi-index | 0.00 |
The aim of this article is to promote cellular automata (CA) approach for studying control problems on spatially extended systems for which the classical approaches cannot be used. In a similar way as for distributed parameter systems (DPS), this article proposes a mathematical framework that presents CA as open systems with inputs and outputs. This should help to solve rigorously several problems which have been so far viewed in the context of CA approach but only from a computational point of view as observability, identification or control (A. Adamatzky, Identification of cellular Automata Taylor and Francis, 1994; S. El Yacoubi, A. El Jai and N. Ammor, Regional Controllability with Cellular Automata Models, Lecture Notes in Computer Sciences, Springer, 2002, pp. 357-367). The particular controllability problem is studied to illustrate how the proposed formalism could be easily applied. Some simulations for the additive case are given.