A Novel Adaptive Control Scheme for Accuracy‐Preassigned Finite‐Time Synchronization of Delayed Chaotic Neural Networks

ABSTRACT The problems of accuracy‐preassigned finite‐time synchronization and global exponential synchronization for delayed chaotic neural networks (CNNs) using an adaptive controller are studied in this article. A direct method based on system solutions is used to establish the sufficient criteria for achieving synchronization. And the explicit expression of settling time (ST) is acquired. Compared with the previous methods, our method reduces the computation and simplifies the proof process, and the obtained sufficient conditions are less conservative. In addition, the convergence time of the error system is more accurate, and the gains of the adaptive controller are theoretically convergent. Three numerical examples with related simulations that demonstrate the significance of the obtained results.