This paper investigates the leader-following consensus problem of multiagent systems using
a distributed event-triggered impulsive control method. For each agent, the controller is …

In sensor network applications, measured data are often meaningful only when the location
is accurately known. In this booklet, we study research problems associated with node …

This study considers the effects of measurement noises on bipartite consensus over
undirected signed graphs. Each agent has to design a protocol based on imprecise …

We introduce a general framework for nonlinear stochastic gradient descent (SGD) for the
scenarios when gradient noise exhibits heavy tails. The proposed framework subsumes …

Motivated by the needs of resiliency, scalability, and plug-and-play operation, distributed
decision making is becoming increasingly prevalent. The problem of achieving consensus in …

In this paper, some consensus problems are considered for time-delay multiagent networks
with directed topologies. Since agents are driven by not only long-term but instant contact …

In this paper, we describe a Cyber-Physical system approach to Photovoltaic (PV) array
control. A machine learning and computer vision framework is proposed for improving the …

This paper describes three methods used in the development of a utility-scale solar cyber-
physical system. The study describes remote fault detection using machine learning …

A distributed spectral clustering algorithm to group sensors based on their location in a
wireless sensor network (WSN) is proposed. For machine learning and data mining …

We consider distributed recursive estimation of an unknown vector parameter in the
presence of impulsive communication noise. That is, we assume that interagent …