Quantified Differential Dynamic Logic for Distributed Hybrid Systems

Abstract

We address a fundamental mismatch between the combinations of dynamics that occur in complex physical systems and the limited kinds of dynamics supported in analysis. Modern applications combine communication, computation, and control. They may even form dynamic networks where neither structure nor dimension stay the same while the system follows mixed discrete and continuous dynamics. We provide the logical foundations for closing this analytic gap. We develop a system model for distributed hybrid systems that combines quantified differential equations with quantified assignments and dynamic dimensionality-changes. We introduce a dynamic logic for verifying distributed hybrid systems and present a proof calculus for it. We prove that this calculus is a sound and complete axiomatization of the behavior of distributed hybrid systems relative to quantified differential equations. In our calculus we have proven collision freedom in distributed car control even when new cars may appear dynamically on the road.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2010
Accession Number
ADA543550

Entities

People

  • AndrĂ© Platzer

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Air Traffic Control Systems
  • Arithmetic
  • Calculus
  • Coding
  • Collisions
  • Computations
  • Control Systems
  • Differential Equations
  • Dynamics
  • Equations
  • Hybrid Systems
  • Language
  • Mathematics
  • Notation
  • Real Numbers
  • Real Variables
  • Standards

Fields of Study

  • Computer science

Readers

  • Control Systems Engineering.
  • Distributed Systems and Data Platform Development
  • Graph Algorithms and Convex Optimization.