Network systems consist of subsystems and their interconnections and provide a powerful
framework for the analysis, modeling, and control of complex systems. However, subsystems …

In this paper, we present an overview of the applications of graph theory in power system
modeling, dynamics, coherency, and control. First, we study synchronization of generator …

Policy is an influential factor to the purchase and usage of Electric Vehicles (EVs). This
paper is focused on the license plate lottery policy, a typical vehicle purchase restriction in …

This paper proposes a general framework for structure-preserving model reduction of a
second-order network system based on graph clustering. In this approach, vertex dynamics …

In this paper a novel model order reduction method for nonlinear systems is proposed.
Differently from existing ones, the proposed method provides a suitable non-linear …

This paper considers the network structure preserving model reduction of power networks
with distributed controllers. The studied system and controller are modeled as second-order …

This paper studies model order reduction of multi-agent systems consisting of identical
linear passive subsystems, where the interconnection topology is characterized by an …

This technical note investigates a model reduction scheme for large-scale multiagent
systems. The studied system is composed of identical linear subsystems interconnected by …

Designing the optimal linear quadratic regulator (LQR) for a large-scale multiagent system is
time consuming since it involves solving a large-size matrix Riccati equation. The situation is …

In this article, we propose a fast reinforcement learning (RL) control algorithm that enables
online control of large-scale networked dynamic systems. RL is an effective way of …