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Safe Over- and Under-Approximation of Reachable Sets for Delay Differential Equations

  • Bai XueEmail author
  • Peter Nazier Mosaad
  • Martin Fränzle
  • Mingshuai Chen
  • Yangjia Li
  • Naijun Zhan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10419)

Abstract

Delays in feedback control loop, as induced by networked distributed control schemes, may have detrimental effects on control performance. This induces an interest in safety verification of delay differential equations (DDEs) used as a model of embedded control. This article explores reachable-set computation for a class of DDEs featuring a local homeomorphism property. This topological property facilitates construction of over- and under-approximations of their full reachable sets by performing reachability analysis on the boundaries of their initial sets, thereby permitting an efficient lifting of reach-set computation methods for ODEs to DDEs. Membership in this class of DDEs is determined by conducting sensitivity analysis of the solution mapping with respect to the initial states to impose a bound constraint on the time-lag term. We then generalize boundary-based reachability analysis to such DDEs. Our reachability algorithm is iterative along the time axis and the computations in each iteration are performed in two steps. The first step computes an enclosure of the set of states reachable from the boundary of the step’s initial state set. The second step derives an over- and under-approximations of the full reachable set by including (excluding, resp.) the obtained boundary enclosure from certain convex combinations of points in that boundary enclosure. Experiments on two illustrative examples demonstrate the efficacy of our algorithm.

Notes

Acknowledgement

This research from Peter N. Mosaad and Martin Fränzle is funded by Deutsche Forschungsgemeinschaft within the Research Training Group “SCARE - System Correctness under Adverse Conditions” (DFG GRK 1765) and from Mingshuai Chen, Yangjia Li, and Naijun Zhan is supported partly by NSFC under grant No. 61625206, by “973 Program” under grant No. 2014CB340701 and by the CAS/SAFEA International Partnership Program for Creative Research Teams. Besides, Yangjia Li is supported partly by NSFC under grant No. 61502467.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Bai Xue
    • 1
    Email author
  • Peter Nazier Mosaad
    • 1
  • Martin Fränzle
    • 1
  • Mingshuai Chen
    • 2
    • 3
  • Yangjia Li
    • 2
  • Naijun Zhan
    • 2
    • 3
  1. 1.Department of Computing ScienceC. v. Ossietzky Universität OldenburgOldenburgGermany
  2. 2.State Key Laboratory of Computer ScienceInstitute of Software, CASBeijingChina
  3. 3.University of Chinese Academy of SciencesBeijingChina

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