We formalize the problem of regional controllability of cellular automata (CA) models, when the control is applied to the boundaries of the whole domain. We deal here with one-dimensional, deterministic CA. We show that the control is always possible if the evolution rule depends linearly on at least one of the bordering sites of the neighbor-hood. The necessary and sufficient conditions are proved by means of the known Kalman criterion. We also report an algorithm to control a subregion of the whole domain by applying the control on the boundaries for a peripherally-linear CA. The obtained results are illustrated by some examples and provided to support the theoretical results. The illustrative examples focused for simplicity, on elementary CA, but can be extended to more general CA.

Kalman Condition and New Algorithm Approach for Regional Controllability of Peripherally-linear Elementary Cellular Automata via Boundary Actions / Dridi S.; El Yacoubi S.; Bagnoli F.. - In: JOURNAL OF CELLULAR AUTOMATA. - ISSN 1557-5969. - ELETTRONICO. - 16:(2022), pp. 173-195.

Kalman Condition and New Algorithm Approach for Regional Controllability of Peripherally-linear Elementary Cellular Automata via Boundary Actions

Dridi S.
;
Bagnoli F.
2022

Abstract

We formalize the problem of regional controllability of cellular automata (CA) models, when the control is applied to the boundaries of the whole domain. We deal here with one-dimensional, deterministic CA. We show that the control is always possible if the evolution rule depends linearly on at least one of the bordering sites of the neighbor-hood. The necessary and sufficient conditions are proved by means of the known Kalman criterion. We also report an algorithm to control a subregion of the whole domain by applying the control on the boundaries for a peripherally-linear CA. The obtained results are illustrated by some examples and provided to support the theoretical results. The illustrative examples focused for simplicity, on elementary CA, but can be extended to more general CA.
2022
16
173
195
Goal 4: Quality education
Dridi S.; El Yacoubi S.; Bagnoli F.
File in questo prodotto:
File Dimensione Formato  
Kalman_condition_and_new_approach_algorithm_for_RC_of_LCA-1.pdf

Accesso chiuso

Tipologia: Versione finale referata (Postprint, Accepted manuscript)
Licenza: Tutti i diritti riservati
Dimensione 3.71 MB
Formato Adobe PDF
3.71 MB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1332372
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 2
social impact