This paper proposes a framework for reliable microgrid energy management based on
receding horizon control. A microgrid is considered for exemplification, connected to an …

This article investigates model predictive control (MPC) of linear systems subject to arbitrary
(possibly unbounded) stochastic disturbances. An MPC approach is presented to account …

This paper presents an extension of a MPC (Model Predictive Control) approach for
microgrid energy management which takes into account electricity costs, power …

A novel method is proposed for solving quadratic programming problems arising in model
predictive control. The method is based on an implicit representation of the Karush–Kuhn …

This article presents a comparative review on the operability and flexibility concepts and
their application to process design and control. First, the operability and flexibility …

Many control strategies can be found in the literature for controlling river systems. One of
these methods is model predictive control (MPC), and it has already shown its efficiency for …

A steady-state interval operability methodology is introduced here for multivariable non-
square systems with fewer inputs than output variables to be used in the design of model …

It is shown how Model Predictive Control can be used for flood control of river systems
modelled with real data. A linear model for the Demer, a river in Belgium, is derived, which is …

This paper considers a discrete-time scheduling method for the power balancing of a
continuous-time DC microgrid system. A high-order dynamics and a resistor network are …

Soft constraints and penalty functions are commonly used in MPC to ensure that the
optimization problem has a feasible solution, and thereby avoid MPC controller failure. On …