The paper reviews the past and present results in the area of decentralized control of large-
scale complex systems. An emphasis is laid on decentralization, decomposition, and …

The objective of this paper is to propose an approach to robust stabilization of systems
which are composed of linear subsystems coupled by nonlinear time-varying …

This paper focuses on the decentralized finite-time prescribed performance control problem
for a class of large-scale nonlinear interconnected systems with input dead zone using an …

A novel neural network (NN)-based nonlinear decentralized adaptive controller is proposed
for a class of large-scale, uncertain, interconnected nonlinear systems in strict-feedback form …

The focus of the research is on the design of a decentralized output feedback controller for a
class of large-scale systems using linear matrix inequalities (LMIs). The class of large-scale …

The objective of this note is to propose a dynamic output control scheme within the LMI
framework for robust decentralized stabilization of systems composed of linear dynamic …

The problem of robust stabilization is considered for a class of nonlinear interconnected
systems, which consist of linear subsystems coupled by nonlinear interconnections that are …

An approximation based adaptive neural decentralized output tracking control scheme for a
class of large-scale unknown nonlinear systems with strict-feedback interconnected …

The focus of this paper is on the design of a decentralized state observer based
decentralized guaranteed cost control for a class of large scale nonlinear interconnected …

Torus networks are commonly used for massively parallel computers, its performance often
becomes the constraint on total application performance. Especially in an asymmetric torus …