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

The cement kiln is one of the major energy-intense processes that need efficient controllers
to minimise fuel consumption, enhance clinker production, and improve cement quality. A …

The lane-change decision-making module of automated and connected vehicles (ACVs) is
one of the most crucial and challenging issues to be addressed. Motivated by human beings' …

Lateral motion control, a core autonomous driving technology, still faces the significant
challenge of accurately tracking the reference path under complex and changeable driving …

Magnetic flux leakage (MFL) detection robots are broadly employed in acquiring MFL
signals to detect pipeline defects. However, influenced by the complex pipeline …

This paper investigates the attack-compensated output control problem for a class of Markov
jump cyber-physical systems (MJCPSs) subject to mismatched modes. A sub-domain …

Research on trajectory tracking is crucial for the development of autonomous vehicles. This
paper presents a trajectory tracking scheme by utilizing model predictive control (MPC) and …

The multisource electromechanical coupling renders the energy management of plug-in
hybrid electric vehicles (PHEVs) highly nonlinear and complex. Furthermore, the …

For automatic guided vehicles (AGVs), maximizing the operating time with maximum energy
efficiency is the most important factor that increases work efficiency. In this study, the fuel-cell …

The automated guided vehicle (AGV) dispatching problem is to develop a rule to assign
transportation tasks to certain vehicles. This article proposes a new deep reinforcement …