Efficient nonlinear model predictive control

For large numbers of degrees of freedom and/or high dimensional systems, nonlinear model predictive control algorithms based on dual mode control can become intractable. This paper proposes an alternative which deploys the closed-loop paradigm that has proved effective for the case of linear time-varying or uncertain systems. The various attributes and computational advantages of the approach are shown to carry over to the nonlinear case