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Hybridization domain construction using curvature estimation

Published: 12 April 2011 Publication History

Abstract

This paper is concerned with the reachability computation for non-linear systems using hybridization. The main idea of hybridization is to approximate a non-linear vector field by a piecewise-affine one. The piecewise-affine vector field is defined by building around the set of current states of the system a simplicial domain and using linear interpolation over its vertices. To achieve a good time-efficiency and accuracy of the reachability computation on the approximate system, it is important to find a simplicial domain which, on one hand, is as large as possible and, on the other hand, guarantees a small interpolation error. In our previous work[8], we proposed a method for constructing hybridization domains based on the curvature of the dynamics and showed how the method can be applied to quadratic systems. In this paper we pursue this work further and present two main results. First, we prove an optimality property of the domain construction method for a class of quadratic systems. Second, we propose an algorithm of curvature estimation for more general non-linear systems with non-constant Hessian matrices. This estimation can then be used to determine efficient hybridization domains. We also describe some experimental results to illustrate the main ideas of the algorithm as well as its performance.

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    cover image ACM Conferences
    HSCC '11: Proceedings of the 14th international conference on Hybrid systems: computation and control
    April 2011
    330 pages
    ISBN:9781450306294
    DOI:10.1145/1967701
    • General Chair:
    • Marco Caccamo,
    • Program Chairs:
    • Emilio Frazzoli,
    • Radu Grosu
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 12 April 2011

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    Author Tags

    1. formal verification
    2. hybrid systems
    3. reachability analysis

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    HSCC '11
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    HSCC '11: Hybrid Systems: Computation and Control
    April 12 - 14, 2011
    IL, Chicago, USA

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    Overall Acceptance Rate 153 of 373 submissions, 41%

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    View all
    • (2023)On the Trade-Off Between Efficiency and Precision of Neural AbstractionQuantitative Evaluation of Systems10.1007/978-3-031-43835-6_12(152-171)Online publication date: 15-Sep-2023
    • (2022)Reachability Analysis for Cyber-Physical Systems: Are We There Yet?NASA Formal Methods10.1007/978-3-031-06773-0_6(109-130)Online publication date: 20-May-2022
    • (2020)Mining Shape Expressions from Positive ExamplesIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2020.3012240(1-1)Online publication date: 2020
    • (2016)Computational Modeling, Formal Analysis, and Tools for Systems BiologyPLOS Computational Biology10.1371/journal.pcbi.100459112:1(e1004591)Online publication date: 21-Jan-2016
    • (2016)Verification Techniques for Hybrid SystemsLeveraging Applications of Formal Methods, Verification and Validation: Discussion, Dissemination, Applications10.1007/978-3-319-47169-3_61(833-842)Online publication date: 5-Oct-2016
    • (2014)Algorithmic Verification of Continuous and Hybrid SystemsElectronic Proceedings in Theoretical Computer Science10.4204/EPTCS.140.4140(48-69)Online publication date: 23-Feb-2014
    • (2014)Inner approximated reachability analysisProceedings of the 17th international conference on Hybrid systems: computation and control10.1145/2562059.2562113(163-172)Online publication date: 15-Apr-2014
    • (2013)NLTOOLBOX: A Library for Reachability Computation of Nonlinear Dynamical SystemsAutomated Technology for Verification and Analysis10.1007/978-3-319-02444-8_37(469-473)Online publication date: 2013
    • (2012)Analysis of parametric biological models with non-linear dynamicsElectronic Proceedings in Theoretical Computer Science10.4204/EPTCS.92.292(16-29)Online publication date: 15-Aug-2012

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