This paper introduces a methodology for modelling, analysis, and control design of a large-
scale system of agents deployed in 3-D space. The agents' communication graph is a mesh …

In this technical note the problem of driving the state of a network of identical agents,
modeled by boundary-controlled heat equations, towards a common steady-state profile is …

We consider a multi-agent control problem using PDE techniques for a novel sensing
problem arising in the leakage detection and localization of offshore pipelines. A continuous …

In this study, non-fragile consensus algorithm is proposed to solve the average consensus
problem of a network of diffusion PDEs, modelled by boundary controlled heat equations …

Generalized neural predictive control is a kind of receding horizontal control method, in
which the minimum cost function is used to optimize the control input, but large calculation is …

We consider the output consensus problem for a heterogeneous multi-agent system with
one leader agent and N follower agents. The dynamics of each follower agent is governed …

In this paper we model the collective dynamics by two wave-like partial differential equations
(PDEs), whose states in nature present the positions of the agents in 3-D space. The spatial …

This dissertation aims to develop graph theoretical interpretations for properties of multi-
agent system, in terms of its controllability and disturbance rejection capability. Taking the …