Abstract:

An algebraic anti-windup compensation design for a class of distributed time-delayed cellular neural networks is considered. Based on system parameters, M-matrix theory, Dini derivative, an algebraic condition of control for distributed timedelayed cellular neural networks is presented without considering its input saturation. When input saturation is considered, the quadratic matrix inequality （QMI） control criterion which can be changed into linear matrix inequality (LMI) criterion can be gotten based on Schur complement principle. And then the attraction domain and its optimization are presented. The simulation results verify the effectiveness and feasibility of the proposed method.