In this paper, we provide a tutorial review of recent results in the design of distributed model
predictive control systems. Our goal is to not only conceptually review the results in this area …

Recent years have witnessed a trend to use networked multiple autonomous agents to
accomplish complex tasks arising from space-based applications, smart grids, and machine …

We consider a class of Nash games, termed as aggregative games, being played over a
networked system. In an aggregative game, a player's objective is a function of the …

We present a systematic method to design ubiquitous continuous fast-acting distributed load
control for primary frequency regulation in power networks, by formulating an optimal load …

This paper is about distributed derivative-based algorithms for solving optimization problems
with a separable (potentially nonconvex) objective function and coupled affine constraints. A …

We study the problem of temperature regulation in a network of building thermal zones. The
control objective is to keep zone temperatures within a comfort range while consuming the …

Distributed model predictive control (DMPC) schemes have become a popular choice for
networked control problems. Under this approach, local controllers use a model to predict its …

Abstract Model predictive control (MPC) strategies can be applied to the coordination of
energy hubs to reduce their energy consumption. Despite the effectiveness of these …

In this paper we consider the control of several subsystems coupled through the inputs by a
set of independent agents that are able to communicate. We assume that each agent has …

In this paper, a distributed extremum seeking scheme is proposed to find the solution of a
nonmodel-based distributed optimization problem among networked agents. The agents are …