By Topic

Stochastic hybrid systems: Theory and applications

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Lygeros, J. ; Autom. Control Lab., ETH Zurich, Zurich

The term stochastic hybrid systems defines a class of dynamical and control systems that involve the interaction of continuous dynamics, discrete dynamics and probabilistic uncertainty. Over the last decade stochastic hybrid systems have emerged as a powerful modeling paradigm in a wide range of application areas. The talk will provide an overview of recent developments in this rapidly evolving field of research. We will introduce some of the theoretical foundations and challenges of stochastic hybrid systems and outline computational methods that can be used to analyze and control such systems, based primarily on randomized algorithms. The discussion will be motivated by several applied modeling, analysis and control problems from the areas of systems biology and air traffic management. This extended abstract provides some motivation for the talk, as well as an extensive list of references that can serve as a starting point for further reading.

Published in:

Control and Decision Conference, 2008. CCDC 2008. Chinese

Date of Conference:

2-4 July 2008