Affiliation:
1. School of Mathematics and Physics Anqing Normal University Anqing PR China
2. School of Mathematics Southeast University Nanjing PR China
3. Yonsei Frontier Lab Yonsei University Seoul South Korea
Abstract
The quasi‐projective synchronization problems for Caputo inertial neural networks (INNs) with delays are analyzed in this article. The considered model is transformed into two subsystems by selecting a suitable variable substitution. To realize synchronization, a novel fractional differential inequality is established, and the new lemma is derived via Laplace transform. Applying the given lemmas and inequality techniques, the synchronization conditions are inferred through different nonlinear feedback controllers. From the derivation of the theorems, it can be seen that the designed controllers are more extensive and efficacious. Furthermore, the error bound is validly estimated, and the validity of obtained theorems is illustrated by the numerical simulations.
Funder
National Natural Science Foundation of China
Subject
General Engineering,General Mathematics