… A new nonlinear predictive control law for a class of multivariable nonlinear systems is …
It is shown that the closed-loop dynamics under this nonlinear predictive controller explicitly …

… predictive control (MPC) for nonlinear systems requires the online solution of a nonconvex,
constrained nonlinear … The nonlinear model predictive control proposed in this paper is …

… of the origin where the nonlinear system is stabilized by a linear control law. The scheme
is called "dual-mode" because, when such a neighbourhood is eventually reached, the RH …

… In this work, we consider nonlinear systems with input constraints and … hybrid predictive
control structure that provides a safety net for the implementation of any model predictive control (…

… process dynamics and nonlinear models have to … of nonlinear model predictive control. This
paper focuses on the application of model predictive control techniques to nonlinear systems…

A new approach for the design of nonlinear feedback tracking controllers is presented in this
paper. The response of a nonlinear, continuous-time system is first predicted by appropriate …

… predictive control (MPC) algorithms for constrained continuous-time nonlinear systems with
… Moreover, we propose a nonlinear observer structure for this class of systems and derive …

… of model predictive control is possible if the system is linear, even if it is constrained. The
possibility of achieving feedback model predictive control for nonlinear systems remains an …

… In this paper, the state-feedback control of discrete-time nonlinear systems subject to state
and input constraints is considered. In principle, a conceptually elegant solution would be …

… This paper focuses on the application of model predictive control techniques to nonlinear
systems. It provides a review of the main principles underlying NMPC and outlines the key …