This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …

In the era of Industrial 4.0, the next-generation control system regards the cyber-physical
system (CPS) as the core ingredient thanks to the comprehensive integration of physical …

This paper presents a novel Distributed Predictive Control (DPC) algorithm for linear
discrete-time systems. This method enjoys the following properties:(i) state and input …

Due to the ubiquitous existence of external disturbances, the design of distributed control
algorithms with robustness is an urgent demand for multi-agent system applications. This …

In this technical note, we consider a linear system structured into physically coupled
subsystems and propose a decentralized control scheme capable to guarantee asymptotic …

This work presents a novel distributed model predictive control (DMPC) strategy for
controlling multi-vehicle systems moving in formation. The vehicles' motion trajectories are …

This paper proposes to apply a robust distributed model predictive platooning control
approach for a group of heterogeneous autonomous surface vehicles (ASVs) with the input …

The goal of this paper is to give an overview of some recent developments in the field of
model predictive control. After a brief introduction to the basic concepts and available …

This paper proposes a distributed control scheme for a platoon of heterogeneous vehicles
based on the mechanism of model predictive control (MPC). The platoon composes of a …

This paper develops a cooperative, distributed form of MPC for linear systems subject to
persistent, bounded disturbances. The distributed control agents make decisions locally and …