This paper provides a review of computationally efficient approaches to nonlinear model
predictive control. The methods considered cover the following areas: tailoring of nonlinear …

This paper provides a novel solution to the problem of robust model predictive control of
constrained, linear, discrete-time systems in the presence of bounded disturbances. The …

In this paper, NMPC schemes based on fast update methods (fast NMPC schemes) are
reviewed that strive to provide a fast but typically suboptimal update of the control variables …

Stochastic model predictive control (MPC) strategies can provide guarantees of stability and
constraint satisfaction, but their online computation can be formidable. This difficulty is …

The robust model predictive control for constrained linear discrete time systems is solved
through the development of a homothetic tube model predictive control synthesis method …

This paper develops a parameterized tube model predictive control (MPC) synthesis
method. The most relevant novel feature of our proposal is the online use of a single …

This paper is concerned with tube-based model predictive control (MPC) for both linear and
nonlinear, input-affine continuous-time dynamic systems that are affected by time-varying …

The stability of suboptimal model predictive control (MPC) without terminal constraints is
investigated for continuous-time nonlinear systems under input constraints. Exponential …

This paper illustrates the application of dynamic optimization in obtaining the optimal current
profile for charging a lithium-ion battery by restricting the intercalation-induced stresses to a …

Nonlinear model predictive control (NMPC) strategies based on linearization about
predicted system trajectories enable the online NMPC optimization to be performed by a …