Abstract
A relational modeling framework is presented for representing a class of uncertain hybrid dynamical systems exhibiting delayed, infrequent, and uncertain observations. The model defines ranges of possible state evolution, and consequently the system trajectories corresponding to a given observation sequence are typically nonunique. For monitoring and state estimation, it is infeasible to individually track each of the potentially infinite number of possible trajectories. This paper presents a method of encoding a family of trajectories in a graphical representation. Necessary and sufficient conditions are given for the existence of a finite encoding of system trajectories corresponding to received observation sequences.
| Original language | English |
|---|---|
| Pages (from-to) | 405-418 |
| Number of pages | 14 |
| Journal | Automatica |
| Volume | 31 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 1995 |
Bibliographical note
Funding Information:Acknowledgernenrs-The author thanks Professor Bruce Krogh for his contributionst o this work. This work was funded in part by Rockwell International,t he Ben Franklin PartnershipP rogramo f the Commonwealtho f Pennsylvania, NASA grantN GT-40049,a nd NSF grantE CS-9308737.
Funding
Acknowledgernenrs-The author thanks Professor Bruce Krogh for his contributionst o this work. This work was funded in part by Rockwell International,t he Ben Franklin PartnershipP rogramo f the Commonwealtho f Pennsylvania, NASA grantN GT-40049,a nd NSF grantE CS-9308737.
| Funders | Funder number |
|---|---|
| Rockwell International Corporation | |
| U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China | CS-9308737 |
| U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China | |
| National Aeronautics and Space Administration | GT-40049 |
| National Aeronautics and Space Administration |
Keywords
- System theory
- hybrid dynamical systems
- irregular observations
- models
- state estimation
- uncertainty
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering