Distributed model predictive control (DMPC) schemes have become a popular choice for
networked control problems. Under this approach, local controllers use a model to predict its …

Abstract Internet of Things (IoT) platforms have a great number of vulnerabilities which cyber-
attackers can exploit. A possible solution largely contemplated in the state of the art is to …

A novel input/output feedback linearization control method by utilizing nonlinear disturbance
observer (NDOB) is proposed for a quadruple-tank liquid level (QTLL) system in this paper …

Complex, dynamical systems, often of a high order, composed of several interconnected
subsystems, are referred to as large-scale systems (LSSs). This article presents a survey of …

The security of smart grids is put at risk due to their automation and remote access features.
Blockchain technology can be used as a distributed ledger where data is stored and all the …

Blockchain technology is used as a distributed ledger to store and secure data and perform
transactions between entities in smart grids. This paper proposes a platform based on …

In this paper, considering the disturbance in the four-tank system, the new active disturbance
rejection control strategies are proposed to resolve the disturbance problem. In the first …

This work presents a hierarchical distributed model predictive control approach for multiple
agents with cooperative negotiations based on fuzzy inference. Specifically, a fuzzy-based …

Aiming at the formation control of multiple Mecanum-wheeled mobile robots (MWMRs) with
physical constraints and model uncertainties, a novel robust control scheme that combines …

Logistics services involve a wide range of transport operations between distributors and
clients. Currently, the large number of intermediaries are a challenge for this sector, as it …