Deeper neural networks are more difficult to train. We present a residual learning framework
to ease the training of networks that are substantially deeper than those used previously. We …

The study of the stability properties of switched and hybrid systems gives rise to a number of
interesting and challenging mathematical problems. The objective of this paper is to outline …

Abstract We describe Breach, a Matlab/C++ toolbox providing a coherent set of simulation-
based techniques aimed at the analysis of deterministic models of hybrid dynamical …

The last part of this volume focuses on hybrid dynamical systems, an area of research that
has developed as a result of the increasing interaction, over the last several years, between …

In this paper, the supervisory control of hybrid systems is introduced and discussed at
length. Such control systems typically arise in the computer control of continuous processes …

In this volume the important concept of switched and impulsive control is discussed, with a
wide field of applications in the analysis and control of complex systems. This monograph …

In this paper, the problem of stability on stochastic systems with state-dependent switching is
investigated. To analyze properties of the switched system by means of Itô's formula and …

In this paper, we suggest a novel methodology for synthesizing switching controllers for
continuous and hybrid systems whose dynamics are defined by linear differential equations …

Hybrid systems combine time-driven and event-driven dynamics. This is a natural framework
for manufacturing processes: The physical characteristics of production parts undergo …

Increasing complexity in engineering projects raises difficult challenges in industry and
requires effective tools for correct-by-construction design or design verification. This book …