Sustainability has been defined as the concept of meeting the needs of the present without
compromising the ability of future generations to meet their own needs [1]. Other definitions …

Particle filters have been proven to be very effective for nonlinear/non-Gaussian systems.
However, the great disadvantage of a particle filter is its particle degeneracy and sample …

This paper reviews recent research on the application of methods from the theory of
networks for developing distributed control architectures for complex plants. The problem is …

This paper addresses a distributed estimator design problem for linear systems deployed
over sensor networks within a multiple communication channels (MCCs) framework. A …

Designing a stabilized distributed model predictive control (DMPC) with constraints is an
open and important problem for a class of large-scale distributed systems, which are …

This paper addresses the impact of decomposition on the closed-loop performance and
computational efficiency of model predictive control (MPC) of nonlinear process networks …

In this paper, we propose a graph-theoretic framework for designing architectures for
distributed control. Specifically, the popular concept of community structure is used to …

An appropriate subsystem configuration is a prerequisite for a successful distributed
control/state estimation design. Existing subsystem decomposition methods are not …

First, we point out that available decomposition-based control and optimization algorithms
are essentially based on some I block structure i in the underlying I network i topology of the …

In this paper, we focus on the distributed state estimation of nonlinear systems comprised of
several subsystems. We assume that a decentralized state estimation system already exists …