The decentralized aggregate motion of many individual robots is known as robotic flocking.
The study of robotic flocking has received considerable attention in the past twenty years. As …

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

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 …

Flocking control has been studied extensively along with the wide applications of
multivehicle systems. In this article, the distributed flocking control strategy is studied for a …

Suppressing torsional vibration of drill-string has great safety and economic importance to
drilling process. Note that most existing control methods only measure surface information …

In this paper, we propose a distributed model predictive control approach based on the
alternating direction multiplier method (ADMM) to solve the formation control problem of …

This article investigates the flocking control problem of double‐integrator multi‐agent
systems with a virtual leader subject to unknown external disturbances. A robust integral of …

This article focuses on the safety flocking control problem of networked Lagrangian systems
under event-triggered communication. To avoid collision and preserve connectivity, the …

This paper addresses the resilient robust model predictive control (RMPC) problem for a
class of polytopic uncertain systems under the try‐once‐discard (TOD) protocol. At each …