Trajectory encoding for systems with irregular observations

Lawrence E. Holloway

doi:10.1016/0005-1098(94)00115-Y

Trajectory encoding for systems with irregular observations

Lawrence E. Holloway

Institute for Sustainable Manufacturing (ISM)

Producción científica: Article › revisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma original	English
Páginas (desde-hasta)	405-418
Número de páginas	14
Publicación	Automatica
Volumen	31
N.º	3
DOI	https://doi.org/10.1016/0005-1098(94)00115-Y
Estado	Published - mar 1995

Nota bibliográfica

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.

Financiación

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.

Financiadores	Número del financiador
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

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1016/0005-1098(94)00115-Y

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title = "Trajectory encoding for systems with irregular observations",

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.",

keywords = "System theory, hybrid dynamical systems, irregular observations, models, state estimation, uncertainty",

author = "Holloway, \{Lawrence E.\}",

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.",

year = "1995",

month = mar,

doi = "10.1016/0005-1098(94)00115-Y",

language = "English",

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pages = "405--418",

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T1 - Trajectory encoding for systems with irregular observations

AU - Holloway, Lawrence E.

N1 - 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.

PY - 1995/3

Y1 - 1995/3

N2 - 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.

AB - 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.

KW - System theory

KW - hybrid dynamical systems

KW - irregular observations

KW - models

KW - state estimation

KW - uncertainty

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DO - 10.1016/0005-1098(94)00115-Y

M3 - Article

AN - SCOPUS:0029270726

SN - 0005-1098

VL - 31

SP - 405

EP - 418

JO - Automatica

JF - Automatica

IS - 3

ER -

Trajectory encoding for systems with irregular observations

Resumen

Nota bibliográfica

Financiación

ASJC Scopus subject areas

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