Disturbance-observer-based control for discrete-time delayed standard neural networks

The disturbance attenuation and rejection problem is discussed for discrete-time delayed standard neural networks in disturbance observer based control framework. By integrating conventional feedback control law and disturbance observer, the disturbance can be rejected and the closed-loop system has a good dynamic performance. By linear matrix inequality technique, some solvable sufficient conditions are presented to guarantee closed-loop system stability. Finally, simulation results are provided to demonstrate the effectiveness of the proposed method. The results show that the control performance of the proposed method in term of disturbance rejection is considerably better than the traditional method.