Most distributed sensing methods assume that the expected value of sensed information is
same for all agents-ignoring differences in sensor capabilities due to, for example …

A new distributed input and state estimation architecture is introduced and analyzed for
heterogeneous sensor networks. Specifically, nodes of a given sensor network are allowed …

In this paper, a novel distributed estimation scheme for multi-agent systems is devised,
where each agent communicates only with a subset of neighbouring mates. It is assumed …

In this paper, we focus on a new distributed input and state estimation architecture, where
nodes of a given sensor network are allowed to have heterogeneous information roles in the …

Distributed estimation and control schemes play an important role in cooperative Multi-Agent
Systems (MASs), addressing various challenges of the insufficient capabilities of individual …

In this paper, we consider distributed estimation of linear, discrete-time dynamical systems
monitored by a network of agents. We require the agents to exchange information with their …

In this paper, we consider the problem of active sensing using mobile nodes as a sensor
network to estimate the state of a dynamic target. We propose a gradient-search-based …

This paper presents an algorithm and analysis of distributed learning and cooperative
control for a multi-agent system so that a global goal of the overall system can be achieved …

This paper presents a scalable information theoretic approach to infer the state of an
environment by distributively controlling robots equipped with sensors. The robots iteratively …

This paper examines the problem of sensor placement and coordination to maximize the
sensor utilization when monitoring different types of environments. Our assumption is that …