Disturbance-Improved Model-Free Adaptive Prediction Control for Discrete-Time Nonlinear Systems with Time Delay

This study proposes a Disturbance-improved Model-free Adaptive Prediction Control (DMFAPC) algorithm for discrete-time nonlinear system with time delay and disturbance. The is shown to have good robustness. On the one hand, Smith predictor used predict output at future eliminate in system; on other an attenuation factor introduced input effectively measurement proposed data-driven control that does not require model information of controlled it only requires data. convergence DMFAPC analyzed. Simulation results confirm effectiveness this algorithm.