Dual Control Method Study Based on Model Reference Adaptive Method

Based on the model reference adaptive method and two-criterion functions, a dual controller with control and learning effect is proposed for stochastic systems with unknown parameters. The proposed control algorithms can improve the control performance and reduce the overshoot of the system at startup. The simulation results show that the controller designed can achieve good tracking performance.