The increasing integration of the distributed renewable energy sources highlights the
requirement to design various control strategies for microgrids (MGs) and microgrid clusters …

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

This paper investigates the event-triggered distributed predictive control (DPC) problem for
multi-agent systems subject to bounded disturbances. A novel event-triggering mechanism …

The event-triggered control is a promising solution to cyber-physical systems, such as
networked control systems, multiagent systems, and large-scale intelligent systems. In this …

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 …

This paper studies the extended state observer (ESO)-based distributed model predictive
control (DMPC) approach to deal with multiple mobile robot formation with unknown …

In this paper, we propose a new aperiodic formulation of model predictive control for
nonlinear continuous-time systems. Unlike earlier approaches, we provide event-triggered …

This paper considers the cooperation control problem for a team of dynamically decoupled
agents with resource constraints. A codesign of self-triggered mechanism and distributed …

In this paper, we propose a self-triggered formulation of model predictive control for
continuous-time nonlinear input-affine networked control systems. Our control method …

The event-triggered model predictive control (MPC) reduces energy consumption for
updating control sequences while maintaining the originality of the MPC, which copes with …