Model predictive control (MPC) has demonstrated exceptional success for the high-
performance control of complex systems. The conceptual simplicity of MPC as well as its …

This paper recalls a few past achievements in Model Predictive Control, gives an overview
of some current developments and suggests a few avenues for future research.

Today, the stability of the electric power grid is maintained through real time balancing of
generation and demand. Grid scale energy storage systems are increasingly being …

We propose a robust event-triggered model predictive control (MPC) scheme for linear time-
invariant discrete-time systems subject to bounded additive stochastic disturbances and …

An output-feedback approach to model predictive control that combines state estimation and
control into a single min–max optimization is introduced for discrete-time nonlinear systems …

Image processing and control technologies have been widely studied and autonomous
vehicles have become an active research area. For autonomous driving, it is essential to …

A multi-agent integrated distributed moving horizon estimation (DMHE) and model predictive
control (DMPC) framework is developed for complex process networks. This framework …

Robust output feedback control using model predictive control and observers is an important
yet rather unexplored topic. This work proposes a controller that consists of a state estimator …

A new estimation and control approach for the feedback control of an artificial pancreas to
treat Type 1 diabetes mellitus is proposed. In particular, we present a new output‐feedback …

We consider the control of two UAVs tracking an evasive moving ground vehicle. The UAVs
are small fixed-wing aircraft equipped with gimbaled cameras and must coordinate their …