Advances in wired and wireless technology have necessitated the development of theory,
models, and tools to cope with the new challenges posed by large-scale control and …

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

We review a range of techniques related to navigation of unmanned vehicles through
unknown environments with obstacles, especially those that rigorously ensure collision …

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 …

Integration of a large number of flexible consumers in a smart grid requires a scalable power
balancing strategy. We formulate the control problem as an optimization problem to be …

This paper develops a distributed model predictive control algorithm for linear quadratic
optimal consensus of discrete-time multi-agent systems. The consensus state and control …

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 …

This brief proposes a distributed predictive path following controller with arrival time
awareness for multiple waterborne automated guided vessels (waterborne AGVs) applied to …

We consider a network where each node has exclusive access to a local cost function. Our
contribution is a communication-efficient distributed algorithm that finds a vector x …

This paper proposes a Distributed Model Predictive Control (DMPC) approach for a family of
discrete-time linear systems with local (uncoupled) and global (coupled) constraints. The …