Abstract: In this paper, a cellular neural networks with impulsive effects is investigated. By using differential inequality techniques, some very verifiable criteria on the existence and exponential stability of anti-periodic solutions for the model are obtained. Our results are new and complementary to previously known results. An example is included to illustrate the feasibility and effectiveness of our main results.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 11, 2015, Art. #17
Changjin Xu, Xinliao Mao, "Existence and Exponential Stability of Anti-periodic Solutions for a Cellular Neural Networks with Impulsive Effects," WSEAS Transactions on Signal Processing, vol. 11, pp. 140-149, 2015, DOI:
Changjin Xu, Xinliao Mao. Existence and Exponential Stability of Anti-periodic Solutions for a Cellular Neural Networks with Impulsive Effects.
WSEAS Transactions on Signal Processing. 2015;11:140-149.