In this work, a multi-agent distributed model predictive control (DMPC) including fuzzy
negotiation has been developed. A novel fuzzy inference system is introduced as a …

This work presents a hierarchical distributed model predictive control approach for multiple
agents with cooperative negotiations based on fuzzy inference. Specifically, a fuzzy-based …

Complex systems composed of multiple interconnected sub-systems need to be controlled
with specialized control algorithms. In this paper, two classes of control algorithms suitable …

Following the current technological development and informational advancement, more and
more physical systems have become interconnected and linked via communication …

This work deals with the formulation of a distributed model predictive control scheme as a
decision problem in which the decisions of each subsystem affect the decisions of the other …

Recently, there has been a renewed interest in the development of distributed model
predictive control (MPC) techniques capable of inheriting the properties of centralized …

We present a hierarchical control scheme for large-scale systems whose components can
exchange information through a data network. The main goal of the supervisory layer is to …

Despite of the efforts dedicated to design methods for distributed model predictive control
(DMPC), the cooperation among subsystems still remains as an open research problem. In …

In this chapter we propose a distributed model predictive control scheme based on agent
negotiation. In particular, we consider the control of several subsystems coupled through the …

This paper proposes a quadratic programming based cooperative-distributed model
predictive control strategy, with stability and feasibility guarantees. Its feasibility is achieved …