| Pre-Conference Workshop | |
| Stochastic Hybrid Systems: Theory and Applications | |
| 47th IEEE Conference on Decision and Control | |
Organizers:
Alessandro Abate (Stanford University),
John Lygeros (ETH Zurich), and
Shankar Sastry (UC Berkeley) Engineering systems like communication networks or automotive and air traffic control systems, financial and industrial processes like market and manufacturing models, and natural systems like biological and ecological environments exhibit compound behaviors arising from the compositions and interactions between their heterogeneous components. Hybrid Systems are mathematical models that are by definition suitable to describe such complex systems. The effect of the uncertainty on the discrete and continuous dynamics---both endogenously and exogenously to the system---is virtually unquestionable for biological systems and often inevitable for engineering systems, and naturally leads to the employment of stochastic hybrid models. Stochastic Hybrid Systems are then probabilistic models suitable at describing the dynamics of variables presenting interleaved and interacting continuous and discrete components. The primary goal of the workshop is to present the state-of-the-art on the research in Stochastic Hybrid Systems. The invited presenters will both summarize the different perspectives that come from the well developed research in this topic, and delve into the forefront investigation that they are presently conducting. In particular, the material will be organized into three main topics: Theory, Computations, and Applications. The organizers have solicited contributions on all of the above themes. The workshop will target a broad audience by virtue of the background of the invited presenters, and of the organization and presentation of the material. In particular, the event will be open to students that are starting to look at this research area, and seek for a crisp introduction to the topic. The organizers will request that the material be presented progressively and systematically, so as to rapidly build up from basic concepts, and arrive at research themes at the forefront of current research trends. As such, the workshop also targets active researchers in the field, who desire to be kept informed of the most important results recently obtained in the literature. The organizers have come up with a lineup of presenters with different backgrounds, from different institutions in Europe and the US, and hope this will foster the exchange of ideas between the attendees. Furthermore, the workshop will provide some insight into the most recent directions of investigation which are currently being framed. For instance, the organizers have invited a researcher working on stochastic discrete models in the field of probabilistic model checking. While this is a topic of relevance in the computer science literature, it promises to become in the near future of direct interest to researchers in Systems and Control, thanks to the newest efforts in the topics of abstractions and (bi-)simulations. Finally, a number of applications (both considered per se, or as a complement to a certain theoretical theme) will be presented. We anticipate to cover both engineering and biological applications. This should be of particular interest to practitioners, who may be interested in exploiting such a powerful modeling framework and related techniques in their own industrial work. (partial alphabetic list, a couple more attendees are presently being contacted)
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