Complex, dynamical systems, often of a high order, composed of several interconnected
subsystems, are referred to as large-scale systems (LSSs). This article presents a survey of …

In this paper, a distributed two-layer structure strategy for large-scale systems is described.
In the upper level of the structure, usually known as the Steady State Target Optimizer …

This article presents a novel singular value decomposition (SVD)-based robust distributed
model predictive control (SVD-RDMPC) strategy for linear systems with additive …

This paper is concerned with the robust H∞ model predictive control problem for a class of
non-linear systems subject to state and input constraints and with norm bounded …

In this work, we propose a robust cooperative distributed MPC based on a multi-model
approach. A new method for obtaining a state-space model in the velocity-form of inputs is …

With the rapid development of power generation technology and the increasing demand
from power users, multi-area interconnected power systems have become a development …

The mutual influences caused by dynamic couplings in large-scale systems increase the
difficulty in the design and analysis of distributed model predictive control (DMPC), and …

Liquid level control of the liquid tank is a basic control problem in the process industry. The
liquid level control system usually has the characteristics of strong coupling, nonlinearity and …

Adaptive model predictive control (MPC) robustly ensures safety while reducing uncertainty
during operation. In this paper, a distributed version is proposed to deal with network …

The complexity and dynamic order of large-scale systems is continuously increasing.
Considering the many challenges that exist for these systems, it is very important to provide …