Undecidability of CA classification schemes
Complex Systems
Models of massive parallelism: analysis of cellular automata and neural networks
Models of massive parallelism: analysis of cellular automata and neural networks
Coupled map lattices: one step forward and two steps back
Proceedings of the conference on Chaos, order and patterns : aspects of nonlinearity---the "Gran Finale": aspects of nonlinearity---the "Gran Finale"
Cellular automata in fuzzy backgrounds
Physica D
Mathematical control theory: deterministic finite dimensional systems (2nd ed.)
Mathematical control theory: deterministic finite dimensional systems (2nd ed.)
Regional Controllability with Cellular Automata Models
ACRI '01 Proceedings of the 5th International Conference on Cellular Automata for Research and Industry
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
A mathematical method for control problems on cellular automata models
International Journal of Systems Science
On the decidability of the evolution of the fuzzy cellular automaton 184
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
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Control problems on Cellular Automata (CA) models have been introduced in a rigorous mathematical framework [10]. In this paper, we attempt to apply the control theory concept to the special class of fuzzy CA for which more freedom is gained using a continuum state space. Focusing on the case of fuzzy rule 90, we investigate the possibility of finding a control u= (u0, u1, 茂戮驴 , uT茂戮驴 1) which forces the system at a localized cell, to achieve a given desired state at time T. The problem is studied starting from an initial configuration consisting of a single seed on a zero background.