A novel interactive system identification and control toolbox dedicated to real-time identification and model reference adaptive control experiments

This paper proposes a control-oriented identification toolbox with a set of real-time interactive computer-aided experiments to analysis parametric system identification techniques and adaptive control concepts. The proposed experiments are highlighted through a user-friendly graphical user interface (GUI) which is developed in Matlab/Simulink® environment. The identification and control methods considered here include; process reaction curve method, off-line and on-line parameter identification and model reference adaptive control technique (MRAC); this aspect of the paper makes it a beneficial guide to a large number of readers.