Title :
Synchronization Design of Boolean Networks Via the Semi-Tensor Product Method
Author :
Rui Li ; Meng Yang ; Tianguang Chu
Author_Institution :
State Key Lab. for Turbulence & Complex Syst., Peking Univ., Beijing, China
Abstract :
We provide a general approach for the design of a response Boolean network (BN) to achieve complete synchronization with a given drive BN. The approach is based on the algebraic representation of BNs in terms of the semi-tensor product of matrices. Instead of designing the logical dynamic equations of a response BN directly, we first construct its algebraic representation and then convert the algebraic representation back to the logical form. The results are applied to a three-neuron network in order to illustrate the effectiveness of the proposed approach.
Keywords :
Boolean functions; matrix multiplication; BN; Boolean networks; algebraic representation; logical dynamic equations; matrices; semitensor product method; synchronization design; three-neuron network; Boolean functions; Equations; Learning systems; Mathematical model; Matrix converters; Neurons; Synchronization; Algebraic representation; Boolean network; complete synchronization; semi-tensor product;
Journal_Title :
Neural Networks and Learning Systems, IEEE Transactions on
DOI :
10.1109/TNNLS.2013.2248092