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 presents, from a systems orientation, a review of the resilience literature since its
emergence as an ecological concept in academic parlance in 1973. It argues that much of …

The main purpose of developing stability theory is to examine dynamic responses of a
system to disturbances as the time approaches infinity. It has been and still is the object of …

A reservoir computer (RC) is a type of recurrent neural network architecture with
demonstrated success in the prediction of spatiotemporally chaotic dynamical systems. A …

This article introduces the notion of pinning control for complex dynamical networks
regarding their stabilization, synchronization and control. Specifically, it will first review the …

This paper investigates a susceptible-exposed-infectious-recovered (SEIR) epidemic model
with demography under two vaccination effort strategies. Firstly, the model is investigated …

A new approach for stabilizing unstable reduced order models (ROMs) for linear time-
invariant (LTI) systems through an a posteriori post-processing step applied to the algebraic …

Advanced neural prosthetics require high-density neural recording and stimulation
electrodes interfacing with the tissue. For an implantable device, area, power consumption …

An efficient, stability‐preserving model reduction technique for non‐linear initial boundary
value problems whose solutions exhibit inherently non‐linear dynamics such as …

This report describes work performed from June 2012 through May 2014 as a part of a
Sandia Early Career Laboratory Directed Research and Development (LDRD) project led by …