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 …

Industrial cyber-physical systems (CPSs) are large-scale, geographically dispersed, and life-
critical systems, in which lots of sensors and actuators are embedded and networked …

We show that artificial neural networks with rectifier units as activation functions can exactly
represent the piecewise affine function that results from the formulation of model predictive …

This article pays close attention to a distributed optimization problem for multiagent systems
subject to exogenous disturbances. A novel distributed model reference adaptive control (D …

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

In this paper, we propose a paradigm of control, called a maximum hands-off control. A
hands-off control is defined as a control that has a short support per unit time. The maximum …

The presence of embedded electronics and communication capabilities as well as sensing
and control in smart devices has given rise to the novel concept of cyber-physical networks …

Variational inequalities are a formalism that includes games, minimization, saddle point, and
equilibrium problems as special cases. Methods for variational inequalities are therefore …

Rapid advances in technologies that improve the management of aircraft have provided a
new opportunity for practitioners to address key social, environmental and economic impacts …

This paper proposes a game-theoretic approach to design a distributed real-time electricity
pricing mechanism. Our approach is novel in that it guarantees individual rationality …