Symbolic-Numeric Methods for Problem Solving in CPS (Dagstuhl Seminar 16491)

Authors Sergiy Bogomolov, Martin Fränzle, Kyoko Makino, Nacim Ramdani and all authors of the abstracts in this report



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Sergiy Bogomolov
Martin Fränzle
Kyoko Makino
Nacim Ramdani
and all authors of the abstracts in this report

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Sergiy Bogomolov, Martin Fränzle, Kyoko Makino, and Nacim Ramdani. Symbolic-Numeric Methods for Problem Solving in CPS (Dagstuhl Seminar 16491). In Dagstuhl Reports, Volume 6, Issue 12, pp. 1-28, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
https://doi.org/10.4230/DagRep.6.12.1

Abstract

Reflecting the fundamental role numeric and mixed symbolic-numeric arguments play in the analysis, decision making, and control of cyber-physical processes, this seminar promoted cross-fertilization between the following research areas relevant to problem solving in cyber-physical domains: verification of numerical reactive systems such as embedded floating-point programs and hybrid systems, including novel means of error-propagation analysis; numerical and/or symbolic methods such as verified integrations, interval methods and arithmetic constraint solving; reactive and in-advance planning and optimization methods in complexly constrained spaces, robotics, astrodynamics and more. This combination of up to now only loosely coupled areas shed light on how advanced numerical methods can help improve the state of the art in rigorously interpreting and controlling cyber-physical phenomena. It naturally included the broad set of domain-specific solutions to the pertinent issues of performance impact of error propagation and control in various schemes of numeric and blended symbolic-numeric computation.
Keywords
  • constraint solving
  • cyber-physical systems
  • formal methods
  • hybrid systems
  • optimization methods
  • planning
  • robotics
  • verified numerical methods

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