All beauty, richness and harmony in the emergent dynamics of a complex system largely
depend on the specific way in which its elementary components interact. The last twenty-five …

It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …

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

This article studies consensus of linear multi-agent systems (MASs) on undirected graphs.
An adaptive event-triggering protocol is constructed for consensus control by using relative …

In this paper, we mainly review the topics in consensus and coordination of multi-agent
systems, which have received a tremendous surge of interest and progressed rapidly in the …

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 …

This article provides a historical perspective of the field of adaptive control over the past
seven decades and its intersection with learning. A chronology of key events over this large …

Distributed controller design is generally a challenging task, especially for multi-agent
systems with complex dynamics, due to the interconnected effect of the agent dynamics, the …

Multi-agent systems have numerous civilian, homeland security, and military applications;
however, for all these applications, communication bandwidth, sensing range, power …

This technical brief considers the distributed consensus problems for multi-agent systems
with general linear and Lipschitz nonlinear dynamics. Distributed relative-state consensus …