Ultra-reliable and low-latency communication (URLLC) is central to fifth-generation (5G)
communication systems, but the fundamentals of URLLC remain elusive. New immersive …

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 …

In this paper, the issue of model uncertainty in safety-critical control is addressed with a data-
driven approach. For this purpose, we utilize the structure of an input-ouput linearization …

Modern nonlinear control theory seeks to endow systems with properties of stability and
safety, and have been deployed successfully in multiple domains. Despite this success …

A key aspect of robotics today is estimating the state (eg, position and orientation) of a robot,
based on noisy sensor data. This book targets students and practitioners of robotics by …

Focusing on diagonal linear networks as a model for understanding the implicit bias in
underdetermined models, we show how the gradient descent step size can have a large …

Data-driven transformations that reformulate nonlinear systems in a linear framework have
the potential to enable the prediction, estimation, and control of strongly nonlinear dynamics …

Social learning plays an important role in behavior learning among social animals. In
contrast to individual (asocial) learning, social learning has the advantage of allowing …

This article presents basic concepts and recent research directions about the stability of
sampled-data systems with aperiodic sampling. We focus mainly on the stability problem for …

In this paper, a new formulation for the optimal tracking control problem (OTCP) of
continuous-time nonlinear systems is presented. This formulation extends the integral …