In actual industrial control, many objects have the characteristics of large lag and time-varying parameters, which makes it difficult for traditional PID control to obtain satisfactory effects. Therefore, engineers need a algorithm with better effect simple structure, thus internal model is introduced into process control. Internal has received lot attention in field because its excellent effe...

Reinforcement learning (RL) presents a new approach for controlling adaptive optics (AO) systems Astronomy. It promises to effectively cope with some aspects often hampering AO performance such as temporal delay or calibration errors. We formulate the control loop model-based RL problem (MBRL) and apply it in numerical simulations simple Shack-Hartmann Sensor (SHS) based system 24 resolution el...

airplane in presence of asymmetric left-wing damaged. ‎Variations of the aerodynamic parameters, mass and ‎moments of inertia, and the center of gravity due to ‎damage are all considered in the nonlinear ‎mathematical modeling. The proposed discrete-time ‎nonlinear MRAC algorithm applies the recursive least ‎square (RLS) algorithm as a parameter estimator as ‎well as the error between the real ...