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 …

Data-driven predictive control (DPC) has gained an increased interest as an alternative to
model predictive control in recent years, since it requires less system knowledge for …

The Koopman operator has become an essential tool for data-driven approximation of
dynamical (control) systems, eg, via extended dynamic mode decomposition. Despite its …

This article proposes a nonlinear model predictive control (NMPC) strategy for the position
tracking of cable-driven parallel robots (CDPRs). The NMPC formulation handles explicitly …

This brief addresses the design of a Nonlinear Model Predictive Control (NMPC) strategy for
exponentially incremental Input-to-State Stable (ISS) systems. In particular, a novel …

This study investigates resilient platoon control for constrained intelligent and connected
vehicles (ICVs) against F-local Byzantine attacks. We introduce a resilient distributed model …

In this paper, we propose a new aperiodic formulation of model predictive control for
nonlinear continuous-time systems. Unlike earlier approaches, we provide event-triggered …

In this paper, we study the system theoretic properties of a reference tracking model
predictive control (MPC) scheme for general reference trajectories and nonlinear discrete …

In this paper, a model predictive path following control (MPFC) for holonomic mobile robots
is considered. The MPFC is aimed to control a mobile robot to follow a geometric path …

In this paper, we present an online nonlinear Model Predictive Control (MPC) method for
collision-free, deadlock-free navigation by multiple autonomous nonholonomic Wheeled …