Since the earliest conceptualizations by Lee and Markus, and Propoi in the 1960s, Model
Predictive Control (MPC) has become a major success story of systems and control with
respect to industrial impact and with respect to continued and wide-spread research interest.
The field has evolved from conceptually simple linear-quadratic (convex) settings in discrete
and continuous time to nonlinear and distributed settings including hybrid, stochastic, and
infinite-dimensional systems. Put differently, essentially the entire spectrum of dynamic …