A dedicated controller design for uncertain Volterra-type systems

Recently, different algorithms for identification of several uncertain nonlinear models, referred to as Volterra-type models, were introduced in the literature. This work deals with the development of a suitable model-based control algorithm able to cope with the uncertain characterization of those types of models. Particularly, a robust model predictive control (MPC) scheme for multi-input multi-output (MIMO) Volterra-type models is presented. A MPC paradigm is used to control the process under the presence of uncertainties and constraints on the manipulated and controlled variables. A simulation example is given to illustrate the capabilities of the proposed control methodology.