The use of aerial swarms to solve real-world problems has been increasing steadily,
accompanied by falling prices and improving performance of communication, sensing, and …

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 …

Over the last several decades, various theories and methods of analysis have been studied
for stability and stabilization problems in dynamic systems and networks. Especially, the last …

Given a linear system, we consider the problem of finding a small set of variables to affect
with an input so that the resulting system is controllable. We show that this problem is NP …

Recent studies have made important advances in identifying sensor or driver nodes, through
which we can observe or control a complex system. But the observational uncertainty …

Robustness is key to engineering, automation, and science as a whole. However, the
property of robustness is often underpinned by costly requirements such as over …

This tutorial provides a high-level introduction to novel control-theoretic approaches for the
security and privacy of cyber-physical systems (CPS). It takes a risk-based approach to the …

As the scale of distributed control systems over networks increases and interactions
between different subsystems become more sophisticated, questions of the resilience of …

We address the problem of minimal actuator placement in a linear system subject to an
average control energy bound. First, following the recent work of Olshevsky, we prove that …

We consider the problem of selecting an optimal set of sensors to estimate the states of
linear dynamical systems. Specifically, the goal is to choose (at design-time) a subset of …