ABSTRACT
This chapter considers the input/output nonlinear systems and the general polytopic description and provides output feedback model predictive controls (MPC) techniques based on the state estimator. For the input/output nonlinear model, the linear difference inclusion technique is firstly adopted to obtain the polytopic description. In Dynamic Matrix Control (DMC), Model Algorithmic Control (MAC) and Generalized Predictive Control (GPC), direct output feedback is adopted, which can also be regarded as state feedback. In real applications, if one wants to adopt state space model and synthesis approaches of MPC, it would be better to select the measurable states when he/she sets up the state space model. In output feedback MPC based on the state estimator, a key issue is how to handle the estimation error.
