Abstract
We propose a nonlinear model predictive control algorithm that is computationally efficient and guarantees nominal stability for control of large-scale nonlinear constrained systems. The algorithm combines the best features of the algorithms proposed by Zheng (1997), and Chen and Allgower (1997).