Networked microgrids (NMGs) provide a promising solution for accommodating various
distributed energy resources (DERs) and enhancing the system performance in terms of …

Over the past two decades, complex network theory provided the ideal framework for
investigating the intimate relationships between the topological properties characterizing the …

We introduce a new family of deep neural network models. Instead of specifying a discrete
sequence of hidden layers, we parameterize the derivative of the hidden state using a …

Real-world networks often consist of millions of heterogenous elements that interact at
multiple timescales and length scales. The fields of statistical physics and control theory both …

A reflection of our ultimate understanding of a complex system is our ability to control its
behavior. Typically, control has multiple prerequisites: it requires an accurate map of the …

This paper is concerned with the finite-time synchronization problem for fractional-order
complex dynamical networks (FCDNs) with intermittent control. Using the definition of …

This paper proposes a secondary voltage control of microgrids based on the distributed
cooperative control of multi-agent systems. The proposed secondary control is fully …

Distributed consensus tracking is addressed in this paper for multi-agent systems with
Lipschitz-type node dynamics. The main contribution of this work is solving the consensus …

A practical design method is developed for cooperative tracking control of higher-order
nonlinear systems with a dynamic leader. The communication network is a weighted …

This study proposes a secondary voltage and frequency control scheme based on the
distributed cooperative control of multi‐agent systems. The proposed secondary control is …