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Rice University

Making Hybrid Systems Easier to Model, Simulate, and Visualize

Abstract

dc:description.abstract

Specifying the behavior desired of hybrid systems requires analytical modeling of physical phenomena. Similarly, testing them requires simulation of continuous systems. While numerous tools support later stages of developing simulation codes, there is still a large gap between analytical modeling and running simulation code, which significantly impedes the ability of scientists and engineers to develop novel hybrid systems. The support for partial derivative, in particular, is limited in present mainstream modeling and simulation languages as well as reachability analysis tools for hybrid systems. Either they do not provide such language construct, requiring the modeler to manually transform the model or its correctness is unclear. In this thesis, we demonstrate that compile-time transformations can improve hybrid system formalisms by supporting partial derivatives and equational constraints. These improvements allow the user to express, among other things, the Euler-Lagrangian equation, and to capture practically relevant constraints that arise naturally in mechanical systems. Achieving this level of expressivity requires using a binding time-analysis (BTA), program differentiation, symbolic Gaussian elimination, and abstract interpretation using interval analysis. We give an operational semantics for the specialization process along with a declarative and algorithmic specifications of the binding-time analysis. A type safety theorem is given to show the correctness of the semantics for specialization. The declarative specification of binding-time analysis is used to prove soundness with respect to the specialization process. We also provide an open-source implementation demonstrating our approach.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
Doctoral
Discipline thesis:degree_discipline
Engineering
Grantor
Rice University
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zeng, Yingfu
Advisor dc:contributor.advisor
  • Cartwright, Robert
Committee member dc:contributor.committeemember
  • Taha, Walid

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1911/105397
OAI identifier oai:identifier
oai:repository.rice.edu:1911/105397

Chain of custody

source
Harvested from
Rice University
Base URL
repository.rice.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Zeng, Yingfu. Making Hybrid Systems Easier to Model, Simulate, and Visualize. Doctoral thesis, Rice University, 2019. https://hdl.handle.net/1911/105397