Stability Analysis of Quaternion-valued Neural Networks with Leakage Delay and Additive Time-varying Delays


Qun Huang and Jinde Cao, Southeast University, China


In this paper, the stability analysis of quaternion-valued neural networks (QVNNs) with both leakage delay and additive time-varying delays is proposed. By employing the LyapunovKrasovskii functional method and fully considering the relationship between time-varying delays and upper bounds of delays, some sufficient criteria are derived based on reciprocally convex method and several inequality techniques. The stability criteria are established in two forms: quaternion-valued linear matrix inequalities (QVLMIs) and complex-valued linear matrix inequalities (CVLMIs),in which CVLMIs can be directly resolved by the Yalmip toolbox in MATLAB. Finally, an illustrative example is presented to demonstrate the validity of the theoretical results.


Quaternion-valued Neural Networks, Stability Analysis, Lyapunov-Krasovskii Functional, Leakage Delay, Additive Time-varying Delays.

Full Text  Volume 10, Number 13