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

To address problems of high cost, complicated process and low accuracy of oxygen content
measurement in flue gas of coal-fired power plant, a method based on long short-term …

The control of mobile robotic systems with input constraints is still a remarkable problem for
many applications. This paper studies the model predictive control‐based kinematic control …

To further improve the dynamic and anti-interference performance of permanent magnet
synchronous motor (PMSM) control system, a dual closed loop model predictive control …

For linear parameter varying (LPV) systems with unknown system states, this article
investigates an interval state estimation‐based robust model predictive control algorithm …

For Takagi–Sugeno fuzzy systems subject to inexact membership functions, bounded
disturbances, and noises, an output feedback robust model predictive control (RMPC) …

Brain–machine interface (BMI) system offers the possibility for the brain communicating with
external devices (such as prostheses) according to the electroencephalograms, but there …

To solve the problems of slow response speed of the permanent magnet synchronous motor
(PMSM) system when the external disturbance occurs and the poor disturbance rejection …

The drastic change of coal quality (eg, net calorific value of coal) is an important factor that
reduces the boiler combustion efficiency and stability of thermal power generating units …

Aiming at the current control steady‐state error caused by sampling delay, parameters
mismatch of direct‐drive permanent magnet synchronous motor (PMSM). This paper …