Model validation: a connection between robust control and identification

High Performance Robust Control , System Identification , and Model Validation : A Literature

Identification and Validation for Robust Control: Design Issues

Model validation is the scientific exercise that consists of assessing whether a model of some underlying system is (\it good enough.) Good enough for what? Well, that is precisely the point. The assessment of the quality of a model cannot be decoupled from the purpose for which the model is to be used. And just as the research on system identification has, in the last 10 years, focused on issu...

Robust Control of a Quadrotor

In this paper, a robust tracking control method for automatic take-off and trajectory tracking of a quadrotor helicopter is presented. The designed controller includes two parts: a position controller and an attitude controller. The attitude controller is designed by using the sliding mode control (SMC) method to track the desired pitch and roll angles, which are the output of position controll...

Hysteresis Modeling, Identification and Fuzzy PID Control of SMA Wire Actuators Using Generalized Prandtl-Ishlinskii Model with Experimental Validation

In this paper, hysteretic behavior modeling, system identification and control of a mechanism that is actuated by shape memory alloy (SMA) wires are presented. The mechanism consists of two airfoil plates and the rotation angle between these plates can be changed by SMA wire actuators. This mechanism is used to identify the unknown parameters of a hysteresis model. Prandtl–Ishlinskii method is ...

Model validation for control and controller validation in a prediction error identification framework - Part I: theory

We propose a model validation procedure that consists of a prediction error identi6cation experiment with a full order model. It delivers a parametric uncertainty ellipsoid and a corresponding set of parameterized transfer functions, which we call prediction error (PE) unceminty set. Such uncertainty set differs from the classical uncertainty descriptions used in robust control analysis and des...