This chapter presents a review of interval observers tools and the development of a robust control strategy for a class of uncertain systems subject to both input and state constraints. The proposed approach integrates an integral sliding–mode control (ISMC) framework with an interval predictor–based state feedback controller and a Model Predictive Control (MPC) scheme. The controller is designed to handle external disturbances and parameter uncertainties while ensuring compliance with state and input constraints. The ISMC component compensates for matched perturbations from the initial time, thereby enforcing sliding–mode conditions from the onset. Once the system reaches the sliding surface, the interval predictor–based feedback controller and the MPC handle constraint satisfaction. The proposed control strategy guarantees exponential stability of the closed–loop system. Its effectiveness is demonstrated through simulation results on an academic case study.