Finite‐time parameter identification of fractional‐order uncertain coupling recurrent neural networks based on synchronization
Xilong Qu, Yanping Zhang, Yanxing Wei, Zhengjun Wei, Mingwen Zheng · Mathematical Methods in the Applied Sciences · 2021
This paper mainly studies the parameter estimation of fractional‐order uncertain coupling recurrent neural networks(FUCRNNs) in finite time. We construct a feedback controller and update rules to realize the synchronization and parameters identification of the proposed system in finite time. By designing a new Lyapunov function, a simple sufficient condition to ensure successful identification of parameters is derived. In addition, we also get the identification time and analyze the relationship between model parameters and settling time. Two numerical simulations demonstrate the effectiveness of our proposed method.