Reconstruction of dynamics from noisy observations

Giovanni B. Dimasi, Thomas Taylor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a rigorous formulation of the problem of reconstruction of autonomous deterministic dynamics from noisy observations. The solution is obtained in terms of deconvolution, hence the problem is related to the reconstruction of visual images. Numerical implementation by an optimization method such as simulated annealing or continuation is suggested.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherIEEE
Pages1193-1194
Number of pages2
Volume2
StatePublished - 1994
Externally publishedYes
EventProceedings of the 33rd IEEE Conference on Decision and Control. Part 1 (of 4) - Lake Buena Vista, FL, USA
Duration: Dec 14 1994Dec 16 1994

Other

OtherProceedings of the 33rd IEEE Conference on Decision and Control. Part 1 (of 4)
CityLake Buena Vista, FL, USA
Period12/14/9412/16/94

Fingerprint

Deconvolution
Simulated annealing

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Dimasi, G. B., & Taylor, T. (1994). Reconstruction of dynamics from noisy observations. In Proceedings of the IEEE Conference on Decision and Control (Vol. 2, pp. 1193-1194). IEEE.

Reconstruction of dynamics from noisy observations. / Dimasi, Giovanni B.; Taylor, Thomas.

Proceedings of the IEEE Conference on Decision and Control. Vol. 2 IEEE, 1994. p. 1193-1194.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dimasi, GB & Taylor, T 1994, Reconstruction of dynamics from noisy observations. in Proceedings of the IEEE Conference on Decision and Control. vol. 2, IEEE, pp. 1193-1194, Proceedings of the 33rd IEEE Conference on Decision and Control. Part 1 (of 4), Lake Buena Vista, FL, USA, 12/14/94.
Dimasi GB, Taylor T. Reconstruction of dynamics from noisy observations. In Proceedings of the IEEE Conference on Decision and Control. Vol. 2. IEEE. 1994. p. 1193-1194
Dimasi, Giovanni B. ; Taylor, Thomas. / Reconstruction of dynamics from noisy observations. Proceedings of the IEEE Conference on Decision and Control. Vol. 2 IEEE, 1994. pp. 1193-1194
@inproceedings{28b77877172249459b8b0c733b76c847,
title = "Reconstruction of dynamics from noisy observations",
abstract = "We present a rigorous formulation of the problem of reconstruction of autonomous deterministic dynamics from noisy observations. The solution is obtained in terms of deconvolution, hence the problem is related to the reconstruction of visual images. Numerical implementation by an optimization method such as simulated annealing or continuation is suggested.",
author = "Dimasi, {Giovanni B.} and Thomas Taylor",
year = "1994",
language = "English (US)",
volume = "2",
pages = "1193--1194",
booktitle = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "IEEE",

}

TY - GEN

T1 - Reconstruction of dynamics from noisy observations

AU - Dimasi, Giovanni B.

AU - Taylor, Thomas

PY - 1994

Y1 - 1994

N2 - We present a rigorous formulation of the problem of reconstruction of autonomous deterministic dynamics from noisy observations. The solution is obtained in terms of deconvolution, hence the problem is related to the reconstruction of visual images. Numerical implementation by an optimization method such as simulated annealing or continuation is suggested.

AB - We present a rigorous formulation of the problem of reconstruction of autonomous deterministic dynamics from noisy observations. The solution is obtained in terms of deconvolution, hence the problem is related to the reconstruction of visual images. Numerical implementation by an optimization method such as simulated annealing or continuation is suggested.

UR - http://www.scopus.com/inward/record.url?scp=0028738959&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0028738959&partnerID=8YFLogxK

M3 - Conference contribution

VL - 2

SP - 1193

EP - 1194

BT - Proceedings of the IEEE Conference on Decision and Control

PB - IEEE

ER -