TY - JOUR
AU - Dai, Lihua
AB - This paper discusses a class of delayed Clifford-valued fuzzy cellular neural networks. First, although the multiplication of Clifford algebras does not satisfy the commutativity, without separating the Clifford-valued systems into real-valued systems. Second, we can obtain several sufficient conditions for the existence of anti-periodic solutions for Clifford-valued fuzzy cellular neural networks by using the non-decomposition method, and Schauder fixed point theorem. Third, we can obtain the global exponential stability of anti-periodic solutions for Clifford-valued fuzzy cellular neural networks by using the the proof by contradiction. Finally, we give one example to illustrate the feasibility and effectiveness of the main results.
TI - Anti-periodic solutions of Clifford-valued fuzzy cellular neural networks with delays
JO - Computational and Applied Mathematics
DO - 10.1007/s40314-022-02051-6
DA - 2022-12-01
UR - https://www.deepdyve.com/lp/springer-journals/anti-periodic-solutions-of-clifford-valued-fuzzy-cellular-neural-br85mAFhsr
VL - 41
IS - 8
DP - DeepDyve
ER -