Reference and command governors are add-on control schemes which enforce state and
control constraints on pre-stabilized systems by modifying, whenever necessary, the …

This article provides an overview of model predictive control (MPC) frameworks for dynamic
operation of nonlinear constrained systems. Dynamic operation is often an integral part of …

Integrated power system combines electrical power for both ship service and electric
propulsion loads by forming a microgrid. In this article, a battery/flywheel hybrid energy …

Existing stabilizing conditions that use a terminal cost and constraint that, if satisfied, ensure
stability and recursive feasibility for deterministic, robust, and stochastic model predictive …

The feasibility governor (FG) is an add-on unit for model predictive controllers (MPC) that
increases the closed-loop region of attraction by manipulating the applied reference to …

This paper presents a physics-guided residual recurrent neural network (PGRRNN) and
graphics processing unit (GPU)-accelerated model predictive control (MPC) framework to …

This paper presents the development of a decision support system (DSS) for a low-voltage
grid with renewable energy sources (photovoltaic panels and wind turbine) which aims at …

This article proposes a method for enlarging the region of attraction of linear model
predictive controllers (MPC) when tracking piecewise-constant references in the presence of …

A robustifying strategy for constrained linear multivariable systems is proposed. A
combination of tracking model predictive control with output integral sliding mode …

This paper proposes a hierarchical decentralized reference governor for constrained
cascade systems. The reference governor (RG) approach is reformulated in terms of …