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

For the past decades, networked control systems (NCSs), as an interdisciplinary subject,
have been one of the main research highlights and many fruitful results from different …

This paper studies the event-based model predictive control (EMPC) for tracking of
nonholonomic mobile robot with coupled input constraint and bounded disturbances. First …

This note studies the self-triggered MPC problem for constrained discrete-time nonlinear
systems. A novel self-triggered MPC algorithm enabling the codesign of triggering and …

In this article, we propose two event-based model predictive control (MPC) schemes with
adaptive prediction horizon for tracking of unicycle robots with additive disturbances. The …

This paper investigates the consensus problem of general linear discrete-time multiagent
systems by using distributed model predictive control (DMPC) with self-triggered …

This article studies integral-type event-triggered model predictive control (MPC) of
continuous-time nonlinear systems. An integral-type event-triggered mechanism is proposed …

How to efficiently use limited system resources in distributed receding horizon control
(DRHC) is an important issue. This paper studies the DRHC problem for a class of …

In this study, the authors propose an aperiodic formulation of model predictive control for
distributed agents with additive bounded disturbances. In the proposed method, each agent …

This paper presents a self-triggered MPC controller design strategy for linear systems with
state and input constraints. Based on the so-called relaxed dynamic programming …