摘要
This paper focuses on the existence, uniqueness and global robust stability of equilibrium point for complex-valued recurrent neural networks with multiple time-delays and under parameter uncertainties with respect to two activation functions. Two sufficient conditions for robust stability of the considered neural networks are presented and established in two new time-independent relationships between the network parameters of the neural system, Finally, three illustrative examples are given to demonstrate the theoretical results.
基金
This publication was made possible by NPRP Grant ≠NPRP 4-1162-1-181 from the Qatar National Research Fund （a member of Qatar Foundation）. The statements made herein are solely the responsibility of the authors. This work was also supported by Natural Science Foundation of China （Grant No. 61374078）.
