A Continuous-Time Formulation of Nonlinear Model Predictive Control

Abstract

In this paper, a general continuous-time nonlinear formulation of model predictive control is proposed. The control law calculates the manipulated input that minimizes a quadratic performance index in the presence of input constraints and process dead-time. Connections between the proposed approach and existing controllers in the differential geometric literature are established. The theory is illustrated by a CSTR example.