Observer-based sliding mode synchronization control of complex-valued neural networks with inertial term and mixed time-varying delays

In this paper, the synchronization problem of complex-valued inertial neural networks is studied via sliding mode control (SMC). Both mixed time-varying delays and unknown control disturbances are considered. In the absence of the equivalent transformations of real-and complex-valued systems, the systems are analyzed as an entirety form in complex domain. A disturbance observer is designed to estimate the unknown control disturbance. By constructing suitable integral switching surface function and innovative Lyapunov-Krasovskii functionals, a delay-dependent synchronization criterion is proposed on the basis of linear matrix inequality technique. An efficient SMC law based on the dis-turbance observer is designed, and the accessibility analysis of the predefined switching surface is provided. Eventually, numerical verification based on two types of activation functions, as well as the superiority and practicability analysis are provided.(c) 2022 Elsevier Inc. All rights reserved.

Automated summary

This paper investigates the synchronization problem of complex-valued inertial neural networks using sliding mode control (SMC). The study considers both mixed time-varying delays and unknown control disturbances. The systems are analyzed in the complex domain due to the absence of equivalent transformations of real- and complex-valued systems. A disturbance observer is designed to estimate the unknown control disturbance. A delay-dependent synchronization criterion is proposed based on linear matrix inequality technique using suitable integral switching surface function and innovative Lyapunov-Krasovskii functionals. An efficient SMC law based on the disturbance observer is designed, and the accessibility analysis of the predefined switching surface is provided. Numerical verification based on two types of activation functions, as well as superiority and practicability analysis, are also provided.