Operational Models for Piecewise-Smooth Systems

Abstract

In this article we study ways of constructing meaningful operational models of piecewise-smooth systems (PWS). The systems we consider are described by polynomial vector fields defined on non-overlapping semi-algebraic sets, which form a partition of the state space. Our approach is to give meaning to motion in systems of this type by automatically synthesizing operational models in the form of hybrid automata (HA). Despite appearances, it is in practice often difficult to arrive at satisfactory HA models of PWS. The different ways of building operational models that we explore in our approach can be thought of as defining different semantics for the underlying PWS. These differences have a number of interesting nuances related to phenomena such as chattering, non-determinism, so-called mythical modes and sliding behaviour.

Document Details

Document Type
Pub Defense Publication
Publication Date
Oct 10, 2017
Source ID
10.1145/3126506

Entities

People

  • Andrew Sogokon
  • Khalil Ghorbal
  • Taylor T. Johnson

Organizations

  • Air Force Office of Scientific Research
  • Air Force Research Laboratory
  • Carnegie Mellon University
  • Institut National de Recherche en Informatique et en Automatique
  • Vanderbilt University

Tags

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Linguistics
  • Mathematical Modeling and Probability Theory.

Technology Areas

  • Space