Model Reference Robust Control of A Class of SISO Systems

In this paper, a new control design technique, model reference robust control, is introduced for a class of SISO systems which contain unknown parameters, possible nonlinearities, and additive bounded disturbances. The proposed design methodology is a natural but nontrivial extension of model reference adaptive control. Such an extension is not only essential to achieve robust stability and performance for linear time-invariant systems but also presents a further step toward achieving robust stability for time-varying or even nonlinear systems. The designed model reference robust control requires only input and output measurements of the system, compared with the full state feedback and structural conditions on uncertainties required by existing robust control results.